{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Yellowbrick Examples \n",
    "\n",
    "Ths notebook is a sample of the examples that yellowbrick provides."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys \n",
    "\n",
    "# Modify the path \n",
    "sys.path.append(\"..\")\n",
    "\n",
    "import pandas as pd\n",
    "import yellowbrick as yb \n",
    "import matplotlib.pyplot as plt "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load Medical Appointment Data \n",
    "\n",
    "The data used in this example is hosted by Kaggle at following link: https://www.kaggle.com/joniarroba/noshowappointments/downloads/medical-appointment-no-shows.zip\n",
    "\n",
    "The data is part of a kaggle challenge to discover if it is possible to predict if a patient will show up for an appointment.\n",
    "\n",
    "The data is downloaded, unzipped and stored locally within a directory named data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"data/No-show-Issue-Comma-300k.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>AppointmentRegistration</th>\n",
       "      <th>ApointmentData</th>\n",
       "      <th>DayOfTheWeek</th>\n",
       "      <th>Status</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>Alcoolism</th>\n",
       "      <th>HiperTension</th>\n",
       "      <th>Handcap</th>\n",
       "      <th>Smokes</th>\n",
       "      <th>Scholarship</th>\n",
       "      <th>Tuberculosis</th>\n",
       "      <th>Sms_Reminder</th>\n",
       "      <th>AwaitingTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>M</td>\n",
       "      <td>2014-12-16T14:46:25Z</td>\n",
       "      <td>2015-01-14T00:00:00Z</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>24</td>\n",
       "      <td>F</td>\n",
       "      <td>2015-08-18T07:01:26Z</td>\n",
       "      <td>2015-08-19T00:00:00Z</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>F</td>\n",
       "      <td>2014-02-17T12:53:46Z</td>\n",
       "      <td>2014-02-18T00:00:00Z</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>M</td>\n",
       "      <td>2014-07-23T17:02:11Z</td>\n",
       "      <td>2014-08-07T00:00:00Z</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>38</td>\n",
       "      <td>M</td>\n",
       "      <td>2015-10-21T15:20:09Z</td>\n",
       "      <td>2015-10-27T00:00:00Z</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>Show-Up</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>-6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age Gender AppointmentRegistration        ApointmentData DayOfTheWeek  \\\n",
       "0   19      M    2014-12-16T14:46:25Z  2015-01-14T00:00:00Z    Wednesday   \n",
       "1   24      F    2015-08-18T07:01:26Z  2015-08-19T00:00:00Z    Wednesday   \n",
       "2    4      F    2014-02-17T12:53:46Z  2014-02-18T00:00:00Z      Tuesday   \n",
       "3    5      M    2014-07-23T17:02:11Z  2014-08-07T00:00:00Z     Thursday   \n",
       "4   38      M    2015-10-21T15:20:09Z  2015-10-27T00:00:00Z      Tuesday   \n",
       "\n",
       "    Status  Diabetes  Alcoolism  HiperTension  Handcap  Smokes  Scholarship  \\\n",
       "0  Show-Up         0          0             0        0       0            0   \n",
       "1  Show-Up         0          0             0        0       0            0   \n",
       "2  Show-Up         0          0             0        0       0            0   \n",
       "3  Show-Up         0          0             0        0       0            0   \n",
       "4  Show-Up         0          0             0        0       0            0   \n",
       "\n",
       "   Tuberculosis  Sms_Reminder  AwaitingTime  \n",
       "0             0             0           -29  \n",
       "1             0             0            -1  \n",
       "2             0             0            -1  \n",
       "3             0             1           -15  \n",
       "4             0             1            -6  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "data.columns = ['Age','Gender','Appointment Registration','Appointment Date',\n",
    "                   'Day Of Week','Status','Diabetes','Alcoholism','Hypertension','Handicap',\n",
    "                   'Smoker','Scholarship','Tuberculosis','SMS Reminder','Awaiting Time']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Diabetes</th>\n",
       "      <th>Alcoholism</th>\n",
       "      <th>Hypertension</th>\n",
       "      <th>Handicap</th>\n",
       "      <th>Smoker</th>\n",
       "      <th>Scholarship</th>\n",
       "      <th>Tuberculosis</th>\n",
       "      <th>SMS Reminder</th>\n",
       "      <th>Awaiting Time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>300000.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "      <td>300000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>37.808017</td>\n",
       "      <td>0.077967</td>\n",
       "      <td>0.025010</td>\n",
       "      <td>0.215890</td>\n",
       "      <td>0.020523</td>\n",
       "      <td>0.052370</td>\n",
       "      <td>0.096897</td>\n",
       "      <td>0.000450</td>\n",
       "      <td>0.574173</td>\n",
       "      <td>-13.841813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>22.809014</td>\n",
       "      <td>0.268120</td>\n",
       "      <td>0.156156</td>\n",
       "      <td>0.411439</td>\n",
       "      <td>0.155934</td>\n",
       "      <td>0.222772</td>\n",
       "      <td>0.295818</td>\n",
       "      <td>0.021208</td>\n",
       "      <td>0.499826</td>\n",
       "      <td>15.687697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-398.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>38.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>56.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>113.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Age       Diabetes     Alcoholism   Hypertension  \\\n",
       "count  300000.000000  300000.000000  300000.000000  300000.000000   \n",
       "mean       37.808017       0.077967       0.025010       0.215890   \n",
       "std        22.809014       0.268120       0.156156       0.411439   \n",
       "min        -2.000000       0.000000       0.000000       0.000000   \n",
       "25%        19.000000       0.000000       0.000000       0.000000   \n",
       "50%        38.000000       0.000000       0.000000       0.000000   \n",
       "75%        56.000000       0.000000       0.000000       0.000000   \n",
       "max       113.000000       1.000000       1.000000       1.000000   \n",
       "\n",
       "            Handicap         Smoker    Scholarship   Tuberculosis  \\\n",
       "count  300000.000000  300000.000000  300000.000000  300000.000000   \n",
       "mean        0.020523       0.052370       0.096897       0.000450   \n",
       "std         0.155934       0.222772       0.295818       0.021208   \n",
       "min         0.000000       0.000000       0.000000       0.000000   \n",
       "25%         0.000000       0.000000       0.000000       0.000000   \n",
       "50%         0.000000       0.000000       0.000000       0.000000   \n",
       "75%         0.000000       0.000000       0.000000       0.000000   \n",
       "max         4.000000       1.000000       1.000000       1.000000   \n",
       "\n",
       "        SMS Reminder  Awaiting Time  \n",
       "count  300000.000000  300000.000000  \n",
       "mean        0.574173     -13.841813  \n",
       "std         0.499826      15.687697  \n",
       "min         0.000000    -398.000000  \n",
       "25%         0.000000     -20.000000  \n",
       "50%         1.000000      -8.000000  \n",
       "75%         1.000000      -4.000000  \n",
       "max         2.000000      -1.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "features = ['Age','Gender','Appointment Registration','Appointment Date',\n",
    "            'Day Of Week','Diabetes','Alcoholism','Hypertension','Handicap',\n",
    "            'Smoker','Scholarship','Tuberculosis','SMS Reminder','Awaiting Time']\n",
    "\n",
    "numerical_features = data.describe().columns.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feature Analysis \n",
    "\n",
    "Feature analysis visualizers are designed to visualize instances in data space in order to detect features or targets that might impact downstream fitting. Because ML operates on high-dimensional data sets (usually at least 35), the visualizers focus on aggregation, optimization, and other techniques to give overviews of the data. It is our intent that the steering process will allow the data scientist to zoom and filter and explore the relationships between their instances and between dimensions.\n",
    "\n",
    "At the moment we have three feature analysis visualizers implemented:\n",
    "\n",
    "- Rank2D: rank pairs of features to detect covariance \n",
    "- RadViz: plot data points along axes ordered around a circle to detect separability \n",
    "- Parallel Coordinates: plot instances as lines along vertical axes to detect clusters \n",
    "\n",
    "Feature analysis visualizers implement the `Transformer` API from Scikit-Learn, meaning they can be used as intermediate transform steps in a `Pipeline` (particularly a `VisualPipeline`). They are instantiated in the same way, and then fit and transform are called on them, which draws the instances correctly. Finally `poof` or `show` is called which displays the image.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Feature Analysis Imports \n",
    "# NOTE that all these are available for import from the `yellowbrick.features` module \n",
    "from yellowbrick.features.rankd import Rank2D \n",
    "from yellowbrick.features.radviz import RadViz \n",
    "from yellowbrick.features.pcoords import ParallelCoordinates "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rank2D \n",
    "\n",
    "Rank1D and Rank2D evaluate single features or pairs of features using a variety of metrics that score the features on the scale [-1, 1] or [0, 1] allowing them to be ranked. A similar concept to SPLOMs, the scores are visualized on a lower-left triangle heatmap so that patterns between pairs of features can be easily discerned for downstream analysis. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Age</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Diabetes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alcoholism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hypertension</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Handicap</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Smoker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Scholarship</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tuberculosis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SMS Reminder</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Awaiting Time</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               0\n",
       "0            Age\n",
       "1       Diabetes\n",
       "2     Alcoholism\n",
       "3   Hypertension\n",
       "4       Handicap\n",
       "5         Smoker\n",
       "6    Scholarship\n",
       "7   Tuberculosis\n",
       "8   SMS Reminder\n",
       "9  Awaiting Time"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To help interpret the column features being described in the visualization\n",
    "pd.DataFrame(numerical_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Wnd1+fn7KysrSmTNnKtQ/CABXm2rVqmnRokWKjY1VXFycEhISVFhYqBtvvFGj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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x104b2e710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For this visualizer numerical features are required \n",
    "X = data[numerical_features].as_matrix()\n",
    "y = data.Status.as_matrix()\n",
    "\n",
    "# Instantiate the visualizer with the Covariance ranking algorithm \n",
    "visualizer = Rank2D(features=numerical_features, algorithm='covariance')\n",
    "\n",
    "visualizer.fit(X, y)                # Fit the data to the visualizer\n",
    "visualizer.transform(X)             # Transform the data\n",
    "visualizer.poof()    # Draw/show/poof the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Diagnostic Interpretation from Rank2D(Covariance):\n",
    "\n",
    "Some features share covariance with age but most of the features do not share any measureable covariance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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SVFRURU8DAHCByymipYqrPy1/smHRvYtWrzCQmJgo0zTLtBwVAABAeTp//rwM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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115372f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the visualizer with the Pearson ranking algorithm \n",
    "visualizer = Rank2D(features=numerical_features, algorithm='pearson')\n",
    "\n",
    "visualizer.fit(X, y)                # Fit the data to the visualizer\n",
    "visualizer.transform(X)             # Transform the data\n",
    "visualizer.poof()    # Draw/show/poof the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Diagnostic Interpretation from Rank2D(Pearson):\n",
    "\n",
    "Some features share a positive linear relation mostly with age and a little bit with diabetes but most of the features do not demonstrate a relationship."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RadViz \n",
    "\n",
    "RadViz is a multivariate data visualization algorithm that plots each feature dimension uniformely around the circumference of a circle then plots points on the interior of the circle such that the point normalizes its values on the axes from the center to each arc. This meachanism allows as many dimensions as will easily fit on a circle, greatly expanding the dimensionality of the visualization. \n",
    "\n",
    "Data scientists use this method to dect separability between classes. E.g. is there an opportunity to learn from the feature set or is there just too much noise?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Need to specify the classes of interest\n",
    "classes = data.Status.unique().tolist()\n",
    "\n",
    "# For this visualizer numerical features are required\n",
    "X = data[numerical_features].as_matrix()\n",
    "# Additional step here of converting categorical data 0's and 1's\n",
    "y = data.Status.replace(classes,[0,1]).as_matrix() \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WZe3atdy8+X+JaWJiIvPmzcPBwcG8ZpudnR1+fn5s2bKFs2fPUqdOHeBhopaQ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Vra7nWpFBq6JzzsZTIRF6biP/eOaXMV6dUtm9DIG4Oqdrk4VBXOmsMJXnNktWYli3PT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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x104bfbf28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the visualizer\n",
    "visualizer = visualizer = RadViz(classes=classes, features=numerical_features)\n",
    "\n",
    "visualizer.fit(X, y)      # Fit the data to the visualizer\n",
    "visualizer.transform(X)   # Transform the data\n",
    "visualizer.poof()         # Draw/show/poof the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For regression, the RadViz visualizer should use a color sequence to display the target information, as opposed to discrete colors."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Diagnostic Interpretation from RadViz:\n",
    "\n",
    "It doesn't appear from this visual for there to be much differentiation between the classes. The dimensionality still interestingly shows that the other features have any interesting relations hip with Age."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Parallel Coordinates \n",
    "\n",
    "Parallel coordinates displays each feature as a vertical axis spaced evenly along the horizontal, and each instance as a line drawn between each individual axis. This allows many dimensions; in fact given infinite horizontal space (e.g. a scrollbar) an infinite number of dimensions can be displayed! \n",
    "\n",
    "Data scientists use this method to detect clusters of instances that have similar classes, and to note features that have high varaince or different distributions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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mJCTAy8urSvWIiIiIiIjo2VVrw3pnz56N8+fPY/jw4eWCqVq3bt1w9OhRpKSk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\nc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vP153pqH8Zpwsf2DuKbPzsbS7v41qFublgxw/ePt/O65bP84rrxuu+pX2uzdCmcioiI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\nfQ5ZnBIIBAKBQCAQCAQCoc/5H7ZERbbZzS28AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115a94a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the visualizer\n",
    "visualizer = visualizer = ParallelCoordinates(classes=classes, features=numerical_features)\n",
    "\n",
    "visualizer.fit(X, y)      # Fit the data to the visualizer\n",
    "visualizer.transform(X)   # Transform the data\n",
    "visualizer.poof()         # Draw/show/poof the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Classifier Evaluation \n",
    "\n",
    "Classification models attempt to predict a target in a discrete space, that is assign an instance of dependent variables one or more categories. Classification score visualizers display the differences between classes as well as a number of classifier-specific visual evaluations. We currently have implemented three classifier evaluations:\n",
    "\n",
    "- ClassificationReport: Presents the confusion matrix of the classifier as a heatmap \n",
    "- ROCAUC: Presents the graph of receiver operating characteristics along with area under the curve\n",
    "- ClassBalance:  Displays the difference between the class balances and support \n",
    "\n",
    "Estimator score visualizers wrap Scikit-Learn estimators and expose the Estimator API such that they have fit(), predict(), and score() methods that call the appropriate estimator methods under the hood. Score visualizers can wrap an estimator and be passed in as the final step in a Pipeline or VisualPipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Classifier Evaluation Imports \n",
    "\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.linear_model import LogisticRegression \n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from yellowbrick.classifier import ClassificationReport, ROCAUC, ClassBalance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Classification Report \n",
    "\n",
    "The classification report visualizer displays the precision, recall, and F1 scores for the model. Integrates numerical scores as well color-coded heatmap in order for easy interpretation and detection. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Create the train and test data \n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Ur1+fiRMn4unpCZgnfRg4cCCLFi1izpw5NsGcyWRi1apVvPPOO/To0QMwtyD17NmTtWvX\nMnv2bPr162e3Lzc3N4YNG8aLL75IZGQkERERVKpUyenzA+bWmxMnTvDtt99y7NgxevToQWBg4C23\nO3LkCECe9+vIiBEjSExMZNiwYbRq1cq6/NSpU7Ru3Zo9e/YQGxtLzZo1SU1NZcqUKQQGBrJ48WLr\nZCRJSUm0b9+erVu3Eh0dTXh4uFPXQXa1a9emdu3adOrUiYsXL/LWW29RuXJlwBxEZHfixAmGDh2K\nl5cXkyZNst4biYmJvPzyy/z222/88ccfPP7440yfPp0DBw7QqlUrPv/8c2seycnJ9OzZk02bNvHL\nL7/Qs2dPnnjiCSpVqsSyZcsICQlhxIgRNz2XX3/9NbGxsTRs2JAxY8ZYJ8s5dOgQ3bp1Y+rUqdSq\nVYumTZtatzGZTMTGxjJv3jzrJDlHjx7lhRdeYPXq1Rw+fJiyZcve+oPMQVpaGmfPnuW3335j9OjR\nGAwGevbsaV2fmprK22+/zbVr1xgxYoRNi+c333zDuHHjGDRoEFOmTLHJNzY2lqpVqzJlyhRrV9PI\nyEiGDx/ORx99xIIFC6zntW/fviQnJ/Ppp5/y4osvWvP44YcfGDp0KH379uX333+3uc+PHz9Onz59\n7GYRHT9+PPv37+eZZ56hW7dueT4vIiLZKZgTkbvCMrV4cHCw3brr168zePBghxMEtGzZkkaNGpGY\nmEhYWBhNmjSxa7mpWLEiVatWZevWrZw+fTpPwdy5c+cACAgIsKmcBQUFWbtt+fv7A3D27FkAu0Cm\nXLlyfP7555hMppuOkTGZTDz22GP06dPHGsgBuLu706pVKxYuXMjJkyfttitVqpQ1kANzoNauXTvW\nrFmTYzcxMAdR3bp1Y9KkSQwaNIi5c+fmatISS2uWIxERETdtfczKcr7u5KQbDz74IIGBgTaBHECx\nYsVo0KABCxcu5NSpU9SsWZOrV6+SlJREoUKFbMaK+fr68sknn3D06FHruDdnroPbFRUVRUpKCm+8\n8YbNQw4/Pz/eeecdRowYYb0O8uXLR+PGjXn77bdt8vDx8aFly5ZER0c7vGZuJSUlhTlz5uDj48OI\nESNsZj0tV64cgwcPpk+fPkybNs0mmDMYDHTt2tUayAGULl2aRx99lBUrVnDo0KFcB3NRUVFERUU5\nXGcwGAgICGDAgAE0a9bMuvy3337j5MmTvPDCC3ZdV9944w2WL1/O+vXrOXToEOXKlbPJ78svv7S5\nDrp27crvv//Otm3b2Lp1K2FhYSxevJgLFy7w5JNP2gRyYJ5EZv369axcuZLFixfbXYOuPmmTiDgn\nPj6e4cOHW7vYN2nShAEDBtzyYeeWLVsYNWoUu3btIiAggGbNmvHmm29aHzjmloI5EbkrjEZjjutS\nUlJYtGiRw2CuUqVKNGrUCD8/P7sZ70wmE/Hx8cTFxXH+/HkAu3FGuVW+fHkCAgLYtm0bnTp1okWL\nFjRu3JhixYrZdQ2sWbMmHh4eLF68mOvXr/Pkk0/SqFEjAgMDefrpp2+5r5YtW9pVQBMTEzlw4ACr\nVq3K8TiydgGzKFKkCGBuZbqZN998k2XLlrF3714mTZpEr169blnOrK8mAPOMjJcuXWLnzp0sWbKE\nixcvMm7cuFsGNx4eHtbt75RPPvnEbtmZM2eIi4vj6NGjwI2JSAoXLkzp0qU5evQobdu25dlnn6VJ\nkyaULl2amjVrUrNmTWsezlwHtysmJgaARo0a2a1r3LgxjRs3tv6/c+fO1nFvFleuXGHPnj1ER0cD\nebv24+LiSElJoX79+g4rEI899hg+Pj7ExsZiNBptHgJkbTm2CAoKAnI/lhJsX01gNBrZsWMH8fHx\n+Pn5MWjQICIiIuxmAd28eTMGg4Hw8HCHedavX5+9e/eyadMmm2CufPnyDoPMxx57jK1bt7J582bC\nwsKIiYnBYDDQvHlzh/lHRESwYsUKNm/ebBPMBQUFUbBgwVwfu4i4tsuXL9O5c2fS09Pp0aMH6enp\nTJ48mf379zNnzhzr71920dHRdO/enQIFCtC7d28MBoN1orCffvrJqYeGCuZE5K4IDg7m4MGD1qAr\nq0KFCtlN4jF+/HiH4982btzInDlz2LNnD8ePHyctLc0mCMzrrHG+vr6MGjWK9957jy1btlifsJUv\nX56nnnqKDh06WCu7xYoVY9iwYXz66aesWrWKlStXYjAYqFq1KhEREbRr1y7HST4sEhISmDVrFuvW\nrePQoUNcvHgRMLe2GQwGh8fh6MvdUrm+1ayfXl5eDB06lE6dOjFhwgSaN29+y5aTnF5NkJSUxPvv\nv8+yZcsYOHDgLccpWgJOyzHeKbt27WLWrFnExcVx7NgxkpOTc3yP2qhRo3jzzTfZs2cPu3fvZvjw\n4ZQsWZLmzZvz8ssvU6xYMcC56+B2WVoBLfu+lbNnzzJjxgw2b97M4cOHSUhIAG5+zeQmTyDHWTbd\n3d0JCQnh2LFjXL582aZ11dH1aKm4OFOW7K8mMJlMjBw5ksmTJzNmzBhq165NiRIlbLY5ffo0JpOJ\ngQMHMnDgQIf5GgwGu5eNP/jggw7TWj4Dy/mwfDaWyVeys5yv7N9nrvA6DRG5c6ZNm8bZs2dZuHAh\nZcqUAcwPXrt160ZUVBRt27Z1uN3QoUPx8PDg//7v/6zfb82aNePZZ59lwoQJvP/++7kug4I5Ebkr\nKlasyLp164iNjaV169Z5ymPw4MHMnj0bDw8PqlSpwgsvvGCdmGDMmDFOTV3uqKWwfv36rFixgj/+\n+IOVK1eyceNGDh48yLhx45g5cyY//fSTdazUc889x2OPPcbvv//O6tWriY6OJi4ujh07dvDjjz8y\ne/bsHCt2+/bto3PnziQkJFCkSBHCwsIoV64cVapUIX/+/LzyyisOt7vd91TVrl2b9u3b8+OPPzJo\n0CBmzZqVp3x8fX359NNPWbFiBStWrOD8+fPWFhlHLGPl9uzZQ0ZGht172bIymUyMGjWKGjVq0LBh\nQ5tuqFlNnDiR0aNHW188//TTT/Pwww9To0YN5s+fz+zZs23SV6xYkaVLl7J69WpWrFjB+vXriY+P\nZ8qUKcyaNYvIyEiqV68OOHcd3I6btVZnt2HDBnr37k1KSgolSpSgfv36lCtXjqpVq3Lx4kU++OCD\n2y5PTiyBWfbWsb/rvWkGg4H+/ftz8OBBVq1aRa9evfj5559t9m80GjEYDNSvX/+mXZmytsoBOXYv\ntjwMsVybtwpGLenv1jkRkfvTkiVLqFu3rjWQA/NEXmXKlGHJkiUOg7kTJ05w4MAB2rdvb/OgqmzZ\nsjRt2pT58+crmBOR+0/Lli2ZPHkyy5Yt44MPPrAZm5MbmzdvZvbs2ZQtW5YpU6bYtWZYWimyslTM\nHLVaXb161eF+fHx8aNGiBS1atABg586dDB8+nJiYGCZPnsynn35qTRsQEECbNm1o06YNJpOJzZs3\nM2TIEA4dOsRPP/1kM74tq6FDh5KQkEC/fv3o3r27zbr169ff5Czcvv79+7Nq1SpiY2Nv611ugYGB\nFCpUiAsXLnDy5MmbBnOWd7EdO3aMdevW3bS7YnR0NN9//z358uVj48aNDtPEx8czduxYgoKCmDp1\nqt0sh1lnpszKw8ODpk2bWsd+HTp0iDFjxrBs2TLGjRvH5MmTrWmduQ7yKigoiKNHj3LmzBlr66VF\nWloas2fPpnz58tStW5ePPvqIlJQURo4cSUREhE3aOXPm5LkMljGsjiZoAXPX2NOnT+Ph4XHHxgrm\n1tChQ4mIiODQoUOMGjWKAQMGWNdZyv3iiy/m2BXSkewtdRaW8YaW75Ws5yVrN1yL+Ph44M6OAxUR\n15KQkMDx48d56qmn7NZVqlSJNWvWONzO8j1Uvnx5u3UPPvggy5Ytc2oyN71nTkTuigoVKtCkSRMu\nX77scLxTVhkZGezfv99m2fbt2zEYDLRo0cIukLt48SJ79uyxbmthCRgvXLhgkz45OZl9+/bZLPvj\njz948skn+f77722WV6lShTfeeAOTycTp06cB+PHHH2natCmLFi2ypjMYDNStW5euXbvapHUkLi4O\nd3d3u0AOsH75/10vGc6fPz+ffPKJtQXMURCcGwkJCdb39zl6+Xt23bp1s3afy+l9d2lpadaZC1u1\namXX6mERFxdHRkYGjRo1sgvkUlNTrS9It1wLO3bsoEWLFnbXXbly5XjvvfdsPi9nroPbVbNmTUwm\nE2vXrrVbt3XrVj777DN+/PFHLl68SHx8PA888IBdIAfmayZ7N8vcthBVrlwZHx8fYmJi7N7NBrBy\n5UpSU1OpU6eOE0d2ZwQFBfHuu+9iMpmYMWMGBw4csK4LCwu76YvE+/fvT9u2be0eCOzatcvhcS5f\nvtza0gfmrp8mk4nff//dYf5Lly697dl5RcS1WYIyR0FXcHAwV69eJTEx0W6dpW5y7do1u3WW31VL\nV+/cUDAnInfN559/TkhICAsXLuS1116zedGxxaZNm2jfvr21EmUZn1S0aFFMJhPr1q2zmejh/Pnz\n1inEAZsXhz/88MPWiqCF0Wjks88+s5sw5KGHHuKvv/5i+vTpNi8ENplMLFmyxDomDsyz9p08eZKJ\nEyfaVAzT0tL47bffMBgMDicrsQgJCcFoNFrfn2Xxyy+/MGPGDAwGg90L0O+kxo0b07JlS5KSkhz+\n0MDNg4G0tDSGDBlCeno64eHhDmcoza5du3ZUq1aNvXv30rVrV+vrCiyuXLlCv379iI2NJSQkxG5q\n96wswWNMTIxN+a9du8b7779vDbYs57BcuXLEx8ezYMEC4uLibPJauHAhcGMyD2eug9vVpk0bPDw8\nmDJlik25EhIS+OqrrzAYDDzzzDMULFgQHx8fTp8+bTO21GQyMWXKFOu9kvWasczE6aiykJWvry+t\nW7cmOTmZ9957zyb94cOHGTp0KAaDgQ4dOtyRY3ZWu3btqFy5Munp6QwZMsS6vEWLFhQuXJiff/7Z\n7gXcc+fOZdGiRRw5coQqVarYrEtPT+fDDz+0eaAwceJEdu7cSd26da0T/kRERBAUFMSyZcv46aef\nbPKYOXMmK1euJCQkxGaGzZvx9vbGZDLl2CNARFyP5fvSx8fHbp3lO9jR5GTlypXDz8/P7mFRamqq\n9eGeM3UAdbMUkbsmMDCQefPm8f7777N27VpatGjBQw89xIMPPmhtjTt58iQGg4FSpUrxn//8xzqj\nX9OmTSlRogTbtm2jefPmVK1alatXrxITE4PRaKRcuXIcPnzYZkKCTp06sXTpUubMmUNsbCylS5cm\nLi6OhIQEmjVrxh9//GFNa5n2f9KkSbRo0YJatWrh7+/Pvn37+OuvvyhbtixdunQBzP3hW7RowZIl\nS2jWrBlhYWF4e3sTFxfH2bNnqVWrFs8880yO56FLly4MGTKE3r17U6dOHQoUKGDdT5kyZTh27JjD\niWLupEGDBllfbu2IpVXir7/+sll+/fp1YmNjuXDhAoGBgXz00Ue52p/BYGDKlCn07t2bmJgY6/vu\nSpQowdWrV9m2bRvJycmUKFGC77777qaTjFSvXp0aNWqwfft2mjdvbn2X3NatW7l+/Trly5fnwIED\n1nOYP39+PvjgAz799FPatWtHWFgYgYGBHD16lP379xMUFMSbb74JOHcd3K4HH3yQQYMG8dlnn9G+\nfXvq1KlDvnz52Lp1K1euXKFVq1Y8/vjjgHm6+6lTp9K2bVvCw8Px8fFh586dnDlzxu54wXyvBQQE\ncOrUKTp16kSlSpWs4+qyt/r279+fXbt2sW7dOh5//HHq1KnD9evX2bRpE+np6XTr1i3XQYuj/G+H\nwWDg448/pl27dmzZsoUFCxbw3HPPkS9fPkaOHEnv3r0ZOHAgkyZNomzZshw/fpy9e/fi4eHByJEj\n8fPzs8kvICCA9evX07x5c6pXr87Ro0fZt28fxYsX57PPPrOm8/X15b///S+9evXi448/ZtasWZQp\nU4bDhw+zf/9+ChQowMiRI3PdXbx06dKA+Z12Bw4c4Pnnn7d+tiLimizfdTd7+OlonaenJ127dmX8\n+PH069ePnj17YjQaGTNmjDX4y2kWTEfUMicid5VlnFNkZCStWrXCYDCwefNmoqOj8fDwoGXLlowZ\nM4alS5dOuiVzAAAgAElEQVTaTM2eL18+fvjhB5599lkAVqxYwYEDB2jYsCHTp0+3jqdZuXKldZvq\n1aszffp06tWrR3x8PBs2bKBSpUrMnj2b0NBQu7K9++67fPLJJ4SGhrJ9+3b+/PNPDAYDPXr0YPbs\n2TZjhoYPH867775LyZIl2bx5M+vWraNAgQK88847TJ061eaLOPsMix06dGD48OGEhoayc+dO1qxZ\ng7e3N2+++SZRUVFUrlyZ06dP23QFvdWPRfb1Oc3qaFGwYEE+/PDDHNMZDAYOHDjAokWLrH8WL15M\ndHQ0wcHBvPbaa/zyyy92E0zcjL+/P9OnT2fYsGHUr1+fM2fO8Mcff7B9+3bKly9P//79c5Wnm5sb\n3333HR07diR//vysXr2auLg4atSowYQJE6xdNbNeC+3bt2fUqFHUqlWLffv2sXLlSq5du0aHDh2I\nioqymbXQmevAcq4cnT9Hy7Ivf+mll5g2bRqPPvoou3fvZu3atRQpUoRBgwYxbNgwa7p+/foxYMAA\nSpcuTUxMDBs2bCAoKIj//Oc/zJ8/n6CgIGJjY61ddAwGAyNGjKB06dJs377d+soLR2Xz9fVl+vTp\nvPvuuwQHB7NmzRp27drFI488wsSJEx0OxHe28nKztLdKX61aNdq0aQOYX3BuaY195JFHiIqK4oUX\nXiAxMZE///yThIQEnn76aebOnWvz/WERHBzMzJkzKVWqFKtXr+bKlSt07NiR2bNn2810WbduXWv+\nly5dYsWKFVy7do2OHTsSFRVFrVq1cn0szZo1o1OnTnh5ebF27Vp27dqV63MkIvcny8McS8+grCwt\na9kfKFn06dOHrl27snTpUp599llatWqFm5ubdfiFMzPjGkx/18AMERERkfvAiRMnePzxxylfvry1\na62I3J/i4uK4dDielc+/fVf299j80RQqW8LpLvRXr16lTp069OrVi7ffti1rv379WLt2rfU9oDm5\nePEiR48epVixYhQrVoxRo0YxZcoUtm7dmuO48ezUzVJERERERMQJ/v7+lChRgt27d9ut2717t92Y\n3awWL15MkSJFqFu3rs3rVbZs2ULlypVzHciBulmKiIiIiIg4rXnz5qxfv95mUi/L/y2vtnEkMjKS\nzz77zGYG7lWrVhETE0PHjh2dKoNa5kREROQfLzfj80REnNG9e3cWLFhAly5deOWVV0hOTmbKlClU\nrVqVli1bAnD8+HG2bdtGzZo1KVmyJACvvfYaffv2pUePHjRv3pz4+HgiIyNp1KiRdbvcUsuciIiI\n/KM98MAD7Nmzh19++eVeF0VE/kECAwOZOXMmFStWZOzYscyYMYMnnniC77//Hk9PT8DcdXLAgAHE\nxMRYt2vevDkjR47kwoULfPHFF/z666+89tprjBs3zumHTpoARURERERE7guuMgHK/ULdLP8ltm3b\nhslksj4lEBEREZF/n7S0NAwGAzVr1rzXRZE7QMHcv4TJZMKUlobx1Kl7XRS5BWORIgC4nzt3j0si\nuZWWrh7rrsBQrDAAplMX7nFJRP5ZdG+5FkPRwmA03uti3JQv0PAu7suVKZj7l/D09MR46hRBPXrd\n66LILZyLnAqgz8qF7D+Z714XQXLBf+k3AFy9S113RP4tdG+5Fv/5o+91EeQO0uNkERERERERF6Rg\nTkRERERExAUpmBMREREREXFBCuZERERERERckII5ERERERERF6RgTkRERERExAUpmBMREREREXFB\nCuZERERERERckII5ERERERERF6RgTkRERERExAUpmBMREREREXFBCuZERERERERckII5ERERERER\nF6RgTkRERERExAUpmBMREREREXFBCuZERERERERckII5ERERERERF6RgTkRERERExAUpmBMRERER\nEXFBCuZERERERERckII5ERERERERF6RgTkRERERExAUpmBMREREREXFBCuZERERERERckII5ERER\nERERF6RgTkRERERExAUpmBMREREREXFBCuZERERERERckII5ERERERERF6RgTkRERERExAUpmBMR\nEREREXFBCuZERERERERckII5ERERERERF6RgTkRERERExAUpmBMREREREXFBCuZERERERERckII5\nERERERERF6RgTkRERERExAUpmBMREREREcmD+Ph4+vTpQ3h4OOHh4QwYMICLFy/ecrudO3fSrVs3\natasSa1atejVqxdHjhxxev8eeSm0iIiIiIjIv9nly5fp3Lkz6enp9OjRg/T0dCZPnsz+/fuZM2cO\nHh6OQ60jR47QuXNn8uXLR58+fTCZTEydOpWOHTuyYMECihQpkusyKJgTERERERFx0rRp0zh79iwL\nFy6kTJkyAFSrVo1u3boRFRVF27ZtHW4XGRlJUlISs2bNIjQ0FIDw8HDatm1LZGQk7733Xq7LoG6W\nIiIiIiIiTlqyZAl169a1BnIA9erVo0yZMixZsiTH7eLj4ylUqJA1kAOoWrUqBQsWZP/+/U6VQcGc\niIiIiIiIExISEjh+/DiVK1e2W1epUiV27dqV47alS5fmypUrXLp0ybrs8uXLXL16leDgYKfKoWBO\nRERERETECWfOnAEgJCTEbl1wcDBXr14lMTHR4bbdu3cnJCSEd999l3379rFv3z769euHl5cXnTp1\ncqocGjMnIiIiIiLihGvXrgHg4+Njt87b2xuApKQk/Pz87NYXK1aMnj178tlnn/Hcc88B4OHhwZgx\nY2y6XuaGgjkREREREREnmEwmAAwGQ45pclo3evRoJk6cSHh4OC+++CJGo5Eff/yRvn37Mn78eJo0\naZLrciiYExERERERcUK+fPkASE5OtluXkpIC4LBV7urVq0ydOpVq1aoRGRlpDfgiIiJo06YNH374\nIStXrsTT0zNX5dCYOREREREREScUL14cgHPnztmtO3v2LAEBAQ67YB49epTU1FQiIiJsWu48PDxo\n2bIlFy5c4PDhw7kuh4I5ERERERERJ/j7+1OiRAl2795tt2737t1UqVLF4XZeXl4AZGRk2K0zGo3A\njS6cuaFgTkRERERExEnNmzdn/fr1HDlyxLrM8v8WLVo43KZ8+fIEBwcTFRVFamqqdXlKSgrz58+n\nUKFClC9fPtdl0Jg5ERERERERJ3Xv3p0FCxbQpUsXXnnlFZKTk5kyZQpVq1alZcuWABw/fpxt27ZR\ns2ZNSpYsiZubG4MHD6Zv3760adOGNm3aYDQamTdvHkePHuWrr77C3d0912VQy5yIiIiIiIiTAgMD\nmTlzJhUrVmTs2LHMmDGDJ554gu+//946gcmWLVsYMGAAMTEx1u2aNWvG1KlTKViwIKNGjWLs2LEU\nKlSISZMm5diilxO1zImIiIiIiORB6dKl+e6773Jc/8ILL/DCCy/YLQ8PDyc8PPy296+WORERERER\nERekYE5ERERERMQFKZgTERERERFxQQrmREREREREXJCCORERERERERekYE5ERERERMQF6dUEIiIi\nIiJy3/D0yODh4tfvyr7Oe2Tclf38XdQyJyIiIiIi4oIUzImIiIiIiLggBXMiIiIiIiIuSMGciIiI\niIiIC1IwJyIiIiIi4oIUzImIiIiIiLggBXMiIiIiIiIuSMGciIiIiIiIC1IwJyIiIiIi4oIUzImI\niIiIiLggBXMiIiIiIiIuSMGciIiIiIiIC1IwJyIiIiIi4oIUzImIiIiIiLggBXMiIiIiIiIuSMGc\niIiIiIiIC1IwJyIiIiIi4oIUzImIiIiIiLggBXMiIiIiIiIuSMGciIiIiIiIC1IwJyIiIiIi4oIU\nzImIiIiIiLggBXMiIiIiIiIuSMGciIiIiIiIC1IwJyIiIiIi4oIUzImIiIiIiLggBXMiIiIiIiIu\nSMGciIiIiIiIC1IwJyIiIiIi4oIUzImIiIiIiLggBXMiIiIiIiIuSMGciIiIiIiIC1IwJyIiIiIi\n4oI87nUBREREREREXFF8fDzDhw9n8+bNADRp0oQBAwYQGBjoMP2JEyd4/PHHb5rnjBkzqFOnTq72\nr2BORERERETESZcvX6Zz586kp6fTo0cP0tPTmTx5Mvv372fOnDl4eNiHWoGBgXz11Vd2y5OTk/ns\ns88ICgoiNDQ012VQMCciIiIiIuKkadOmcfbsWRYuXEiZMmUAqFatGt26dSMqKoq2bdvabePr60vL\nli3tlg8bNgyj0cjXX3+Nv79/rsugYE7+dtHubvzo5clRN/MQzUrGDLqkplEhI+OW2zbL73vLNAZg\n2bWk29rnQTcDP3h5EufmzjUDBJtMNEtL56W0dDxvM70RmOfpwW8eHpxwM5APqGw00j41nco5lOdo\nfDzf+Hjlujx/9/Eu9XBngacHxzLzL5ORwXNp6TyRbnSYv7PlcSZ/IzDf04NlHh4cdzMAUCLDRPP0\ndF5IS/9XDQTemQ9+C4ST3ub/l02CZy5AqZTc57E+AP4sCKe9zPdS8RRofBnCr95++gxgZUGIDoCz\nXmACQlLhkQRoctl+0PaGAJgRknNZO5+GR7LsJx1YFgib/eG8J/gbocJ1ePoiFElznMefGzfw24P3\nx/E6W35nzs/r5XNOl9W3B3JetygQlhSGrw5B/lt/Xf+j3M69lddz7+y9mNUlDxhSCvIbYehRx2ly\nm39ey/9X/HHmFINDvpDkBoHpUDcBnrzouLLp7Dl2Jr2z92IG8Ech8z12zhN8MqBcMjS/CGWTHeef\n2/R34l6U+9eSJUuoW7euNZADqFevHmXKlGHJkiUOgzlH9u3bx8yZM2ndujVhYWFOleG+DuZSU1OJ\njIxk8eLFHDt2DDc3N0qVKkVERASdO3fGy8sLgE6dOnHy5En++OOPe1xie1FRUXzwwQcMHz6c559/\n3mGa0NBQ6taty/Tp0+9y6f5+izzcGe3thQ9Q02jkOga2uLux1debL5JTqGm8eQ2hWQ7BAsBudzdO\nGQw8lC1AcHafa93dGerjhRGonJGBf4aJne7uTPfy5LC7G58kp95W+s+9vfjTwx1/oE5meaLd3dno\n687AlFQez3aMm7ZvZ+y0aWS4u+cq/7/7eCd4eTLP0wMfoLoxgwxgu7sbX3p7cdAtnd6ptrVOZ8vj\nTP5GYJCPN1vc3cgPVM3Ma7e7GxO8PIl1d2NIcioG/vnWFIAfg8HLBKHXzZWn3flhbz544wSEJt06\nj7lBsKKQOY+Hr0OGAQ74wv+KwnFvaHM+7+kzgG8egD35Mis6meU57ANzi8C+fNDrJDaf1fHMSlrl\na46Dh6wBTpoBRpeAIz7m8jyUBOkGc2AU6wevn4CHslWqZkbNY+mqlXh53fvjzUv5nTk/dW8SABz2\nMQePJW8SmMTlN1ec/41u997Ky7l39l7MbnoIpLiZgzlHnMk/L+XfvD2WbyKnYfQzX/v5MsxB3eLC\nEO8NPU/Zpnf2HDuTPi/fPVOLwlZ/c7krXYdkN/M9EJcfupy2PyfOpL/de1HuXwkJCRw/fpynnnrK\nbl2lSpVYs2ZNrvMaNWoUPj4+9O3b1+ly3LfBnNFo5NVXX2XHjh0899xztG/fHqPRyJYtWxg5ciQr\nV64kMjIST09H7Qj3F4Ph31C1tHfeYGC8txeFTDA2KZliJhMAm9zd+MjHm6+8vZh+PfmmF+HAlFSH\ny08YDPTM54MfMCRL8OHsPi8ZYISPF+7A0OQUamcGB1eA/r4+rHN3Z627Ow2MxjylX+Hhzp8e7jyc\nkcGIpBT8Mve73c2NAb7ejPP24tH0JHyzlGfiDz/g7ubGsFzk/3cf7yE3A/M8PShiMjEmKYXgzPz/\nMhjom8+Hnz09eCo9nTIZpjyVx9n8F3t4sMXdjQoZGQxLSqFgZj4XDDDAx4eN7u4s8vCgZXq6w+vm\nn+KyO8wuYm7Jee8YBGUe7q58MOEBmFEUhhwB95vkEe9lrtwVTIf+x81P0QFOecHXJc3r6iXAA6l5\nS7+mgLkyVSoZXj9pLivAFXcYV8Jc6VlbABpeyVKmzGDlldPge4uWoMWB5kCoaKq5Mlc4szx/ecPY\nEjC1GHxy1Fz5s5R/6aqVBBYsyLsxl+758TpbfmfPT9fTjpef9YTPS5krob1POk6zLgB+Cgbjv/Cn\n607cW86ee2evtexWFTAHKDlxNn9ny5/gDpNm/YC7uxuv/wUVr5uXJ7rB6JKw3Q9i80ONa+blzp5j\nZ9M7ey9u9jcHZg+mQN/4G/fWfl8Y94D5XqieCN6mvKW/nXtR7m9nzpwBICTEvstEcHAwV69eJTEx\nET8/P7v1We3du5dVq1bx6quvEhQU5HQ57tseSUuWLGHz5s2MHDmSIUOG8NJLL/Hyyy8zevRo+vfv\nT0xMDPPmzbvXxZSbmO/pgRFon5ZmrdQD1DVm0DzdyDmDgTUeN/tJdMwEDPPxIgXom5JKkSx5O7vP\nBZ6eJAEvp6ZZAxuAAkC31DQKm0wcdjPkOf0KD3cMwGupaWS9latnZBBmzOAasNf9xm24wNOTpORk\nWj39dK7y/7uPd5u7ufzN043WQAuglMlE0zTzL+pOtxv5O1seZ/P/3dOc/s2UNGsgB1DYBL1SUzEB\nq/JwTbmaVYXMFe3mF29UbAAqXzd3I7rkAdtu/tthrfw9knCjcgdQLBXqZD5JPuSb9/TRAea/2527\nUZkCKGCE1ufM/96SbUhAvDcEpt06UAHYUMD8d6czNwIhMHe5evoiXPYwV+qyl79B3fD74nidLT84\nd34cMWEOElMN8NIZc+U+q/Me8F0xmBlibtHw/pd1rYQ7c285crNz7+y1ltU5T5hfxNyym5PbyT83\n5f+zICQlJ/P8k09bAzkAvwxoed6c9oT3jeXOnmNn0zt7L27O/Pfz52zvrYeTbrQCHvXJe3pHbnUv\nimu4ds38hMLHx/4D9/Y2X/RJSbfuJvPjjz/i4eHByy+/nKdy3LfBXGxsLAaDgfr169ut69ChA56e\nnmzfvv0elExya4u7uVL9iIOuko+mp2MCNrk7X/Fe4uHOfjc36hgzaJItb2f3udbdHXfguTT7b9JH\njUb+73oynbOsczb9J8mpfJ+UTDUH3UmTM2Mm9yxP3te6u+Pu7k7zhg1zlf/ffbwGzD865x20Ll/J\nXObPjQNwtjzO5l/ABKUyTJR3MPauRGbr3UW3f35zwu7MylnVa/brqiea/96V/+Z5WM7SZQdN44mZ\nvwxZu2w5m97PaK4slnQw3iQ4swUgIcvtf8HD3FUpN92NEt3gqrv5iXYZB/mXz6xQ7s5yDizlv3T5\ncq7K/3ceb17K78z5ycm6ADjmbe6mWSvRfv3cYHMrSoXrMPDYv2+cHNyZe8uRm517Z681CxPwvxDw\nzICXzua877zmn9XNyr/dD9zd3GnWsJHddtWvwedHoMXFG8ucPcfOpnf2u6fnSRj0lzkYyy4l8/xk\nrSw7m96RW92L4hpMmQ+hb9YD71a981JSUli4cCFNmzalWLFieSrHfdvNMn/+/JhMJn766Se6du1q\ns87X15dt27bZTfe5bt06/vvf/3LgwAEKFy7Miy++SO/evW3S7N+/n9GjR7N582ZSU1MJDQ3ltdde\no1mzZgC88cYbbNmyhejoaOs2q1atolevXnTq1IlBgwZZl7/++uscO3aMRYsW3dFjHzhwIFu3bmXE\niBEMGTKEQ4cOUbx4cbp06UL79u3v6L7+Tn+5GfAEHsjS4mLxYGbF+y8nK95JQKSXuZtgbwddMJ3Z\nZxpwzM3Agxkm8gFH3Ays8vDgosFA0YwMmqUbCcmSj7PpwXyDWboIZvWrhztxbm4UM5msk6BY8n8g\nOBhfH59c5f93Hi9ArXQjBi9Plnm4UzbDgycyA72lnh6s9nCnuMnEo1kCN2c/c2fzH5acc012X+bk\nKUEOzvc/zWkv8DBBsINJMkIyb4tT3vbrsrI8QY8OgBIpEJ5g/v/6AuYuREXSoNq1vKd//SbdhixP\nrbM+jbaMB/MzwqxgczepKx7mY6x/xTxpgeXKycj8R04tR5aK1Gkv+/Kv27yJkIL39njzUn5nzo8j\nKQZYGGTOu805x2lKJMMjV250h/s3uhP3Vna3OvfOXmsWywvBYV945RT436RlJ6/556b86Zi7az4Q\nYv7d2utlzvOKBxROM0+AUjhb2Zw9x86md/a7xx3HXVjXB5hbLIuk3Rh3l5f02eXmXhTXkC+f+UlD\ncrL9k4OUFHN95VZdLDdu3Mj169cdjrvLrfs2mHv22WeZNm0aw4cPZ968eTRr1ox69epRo0YNvLy8\n7AK5c+fO8dZbb/HSSy/x4osvsnDhQsaMGUP+/Pnp3LkzADt27KBLly74+fnx6quv4uvry4IFC+jT\npw+DBw+mQ4cONG7cmBUrVrBnzx4qVqwIYA3sYmJirPtLT08nOjqal1566Y4fu8Fg4PLly3Tv3p3G\njRvTunVrli1bxieffEJCQgI9evS44/u8065iDh6yBwcWgZnLLzk5nnChpweXDOaJUUpmy9vZfZ42\nGMgACptMzPT0INLrxvhLE+7M9PLk/ZRUa+ufs+mzuwKM8vHisJsbJw0GSmeY+Dg5xdrP35J/wYAA\non77jTm+N5rtHeX/dx8vQGmTib4pqXzr7cUEL08mZNnmUaORd1JSsdQ38/KZO5P/zRiBGV6eGIBG\nN5k055/gmpt5oozAHCpvAZnLr96i0btYqvlp/pwi5kkB5ha5sa7aNehwBjxNeU+fkwzg18Lmf4dl\neSIdn3m5rytg7hpVNgkKpMMxH/M+D/vAq5ljT/yN5u5NlzzMfwplOxeHMvO6luUcFEuFbi+254ef\n5zK3SMY9Pd68lN+Z8+PImoLma6JuAoTkMNPnMxcdL/+3uFP3Vna3Ovd5udZOecHCwlAjEWon3mhh\nc+R2r+Wblf+Cp7mFsGBAARb8vpR5pSBrVr8GmicEsbQ+OXuO7+RnktN3T1aJbuZuxie8zROTFE+F\n7idzbmlzNj3k7l4U11C8eHHAHINkd/bsWQICAhx2wczqzz//xNvbm8aNG+e5HPdtN8uHHnqI8ePH\nExQUxMGDB5kwYQKdO3cmPDycfv36cfToUZv0aWlpjBgxgv79+9OuXTu+++47/Pz8WLZsmTXN0KFD\ncXNzY968efTq1YsuXbrwf//3f1SqVImvvvqKy5cv06hRI0wmExs3brRuFx0dTdGiRdm3bx+JieZv\ngG3btnH9+vXbOvk3k5CQQJs2bRg5ciQdO3Zk2rRp1KlThwkTJnD1ai7mKb7HkjMr7DlVxL2ypcsN\nE7DA0wMD0D7V/hvQ2X1ez/x7r7sb//Py5OW0dGZdT2bOtSR6pKZhBL709rKOIXM2fXYn3dxY5+7O\nKYMBA+YflsNuN25BS/6H/vqLuYsX3zL/v/t4LaoaM6hhzCAfUNuYQXVjBt5AjLs7y7M8VMnrZ57b\n/G9mjLcnRzNbHZ/+h09+kpp5yXjm0KpjmTAjJRff7g8lmbvU+WSYn96XTzJX6vbmg00OXnHjbHpH\nfgyGk17miT8edTD5SXgCDDtsnv2ufzx8cMxckYvxh7WZY2EM3BjrE1nUXOGzOOFlnk4fzDNGZlWh\n3ENULP/wPT/evJTfmfOTnQlYVdC83ycv5a7c/0Z38t6yyO25d+Zay8A8C6X3LbpX5jV/Z8qfnHku\nDv11lJ+XLObpi+ZulV8ehhfOm1uh/1fUfF2D8+f4Tn4mOX33ZHXOy9xt9Hzmc8UMbrwK4U6k1734\nz+Lv70+JEiXYvXu33brdu3dTpUqVW+axbds2qlSpQv78eei/nem+bZkDrK1kK1asYNWqVaxfv55z\n586xePFili9fzpQpU6hduzZgHnzYtGlT67b58+enbNmy1mj5woUL7Nixg44dOxIcHGxN5+XlRffu\n3enXrx/r168nIiKC8uXLs3HjRrp160ZCQgJ79+7lvffeY8SIEWzdupVGjRqxZs0a/P39qVWr1h05\n1ux9ag0Gg00LnMFgoHPnzrz11lusX7+eJ5980ul9GIsU4Vzk1Nsua25cunIFPvyQjJAQzn34od36\njIwM6NsXo68v5775Jld5xsTFceb77wmrXJn8vXqR/TmIs/s8e+gQjB7NNeCZxx8nIvPVEWnAY8C5\nRYuI+u03/te4EX26dHE6fXZ+KSlMzsggIyODLTt2MP3nnxmaksL17t2pXa2aNf/rycm0iIgg4umn\nb5r/3328AAeOHOHzb76heEgII3v2pGCAubZ4+tw5hn/7Ld+dP49Xzx48Wrt2nj5zZ/LPybTZs/l9\nzRry+/ry5rvvcqlo0RzT/l38M3L/UOJ2pV+5AoMH4V4qBP/vPrJbn5GRAe+8Bfl98V/6VY75HDxy\nhBHfjqd4SAhf9+hFAeu5P8vXEyfws/s5ir7XlXq1aucpvSP/mzubdWtWk983H+98+C4FQ258Vu+k\np3P2wnmKFgnGLctDDn+g6844/jvpO9bWeoCnB3wAQMekJA6N/i8HTp/ik2r5KFe6NKmpqRw8eoSw\nqtXYvX8/Kakp+C8dbS3/8P9+RfHixfn6iy/u+fE6W35nz09WW+PiuDj5O2pUrsLD43rlWN7s3D4Z\nDJcu4jfnS/xuo6LhKu7UvZVVbs69s9da1NJfOfbrYt7o0o3iYZl1kGuJ8J+BuBULxH/ikNvK35ny\nex46CGNHk5ScTEREBC89GWFd1wrIWLyIBb8vZUWb2rzeuavT5/hOfSY3uxezejglhe8yf6dj4nYw\nM2oeU3xT8HulO7WqVb/t9Hm9F+80Q6EATKcu3LP9/5M0b96c6dOnc+TIEeu75tavX8+RI0d47bXX\nbrpteno6Bw8epF27drdVhvu2Zc7Cy8uLp556iuHDh7N69Wp+/vlnnnnmGVJTU/n444+t6QoVKmQX\nEHl7e5OWZm7BOXHiBAClS5e220fZsmUxmUzWNA0bNmTLli1kZGSwadMm3NzcaNu2LQEBAWzZsgWA\ntWvX8uijj+Lm5kZaWhrnz5+3+WNpwfP29sZkMpGeQ2uBMXMKeMusNxYFChQgMND2JT+lSpWyKef9\nzA5f9k0AACAASURBVDvzHYCpaY77EFiWW9LlxsZt2wBoGB5+R/aZdd9PNGhgl75Z5rLdBw7kKX12\nPt7e5PP1xS9/fprUq0ePl17CZDIxd8kSu/ybPf54rsvzdx0vwP/mzSM5JYXXO3WyBloARYsUoUeH\nDgAsyGz9zstn7kz+2aUbjYyLjLQGch+88QYP3INA7m679XlOtUmXkxk/zyUlNYWeL3e2Vu4AihYJ\n5tX25nO/cPnveU6fVbrRyLf/m8byzMrUe73foHi2ypSHhwfFQ4raBCoW1SpWws3NjeOnTporb0A+\nX18Gv/0uTzV5DG9vL/Yc2M/Va9fo8Hwr3ujSjeTUFHx9b0zRN+PnuaSkpNCrZ8/74nidLb+z5yer\nTbFbAWhYp67D8orZnbq3ssrNuXfmWvsr/jgLfltK7WrVeSQsdw+Tb+davlX5vb1u1F0c/W41rW/+\nXdmT698t23N8u59Jbu7FrLL+Tjd+pB6vtu+AyWTi51+X3JH0uhf/ebp3706BAgXo0qULkZGRTJw4\nkb59+1K1alVatmwJwPHjx/nll184fvy4zbanTp0iLS3N2l0zr+7LlrmkpCQmTpxIlSpVeOKJJ2zW\nVaxYka+//pqEhATWrFnDlSvmtvJbzRZjymEcT9Z1lnfWNW7cmGnTprFjxw6io6Op9P/s3Xd4FNX+\nx/H3pncglEACSKQoVToiRaULgvBTVK5KE7hXAa+oCHjtXi+KIIqCgPSiIh0VkSIgHaP0llCEhBYI\nhBRSd/f3x5IlYTfJ7iYoi5/X8/BoZs6c+e7kzGa+c2bOqVWLoKAgGjVqRFRUFJcuXeLQoUPWd/F2\n7dpl/f+cWLp3787o0aMJufbFmTN86Y1y4g8Ozvucg73583L+SNv7Y+4IzwsXKDPoz7sT5BfoT9LF\ni5Tt299m3WmDAQL8KJuQYHf9jUzAnkB//IAOn35Gfk8xOLXPaz8bgJqvvGpzZ6Ms4BHoT/Lly66V\nL0QX4ItAf+JiYwnNVT8eHpTz8rKpw179N/PzZgLHA/0JNZupP/I1m/pbA76B/sTFxRHatz9lnYzH\n2fpzvxKRCrzh58teTw9CzWZGX0yg6lvv5Heob7roMwVM8nQT+FSDKxcSSO402GZdvDdQBYLPJdpd\nD5bH945XgxAjhPR9jxsf3I64to+4uNNc6TQYo5Plc7etNA+YHG6ZoDjECENOpFLun2Ns6ihMwJ2Q\n4gmXugy1zt8E0O3aP4szsPFbYr2+JTsSSiVlkdxpsPXzlixZgnD/IJvj8ld+XkfiL8rxMQG7qoKP\nAaq+Np1k83SH6gMwRQJekNLzVcx/k5Eti3pu5ebIsXf2XPw6HIyBkLp1NxM2XY8h2wAEQXJ8AhP6\nWpb3O+d8/bnbsiPxe3gBkYCHgdIe3jbHxRswVIfky9ePmbPH2NXfSXF899wNeFWDuLg4m+PjbPmi\nnIvFLXjZJ3/Zvm83oaGhzJ8/n9GjRzNhwgT8/f1p3749w4cPt17LR0VF8dprrzF69GgqVapk3fby\n5csYDIZCB0kpzC2ZzPn6+jJjxgwaNmxok8zlqFatGps3by70xcIcERERABw/ftxmXc6ynCFBGzVq\nREBAANu2bSMqKor77rsPgKZNm/Lxxx+zbt06DAYDrVtbhuGtWbMmM2fOzFNnzqOc1apVA+Do0aN2\n4zpy5AgANWrUyLM8ISGBtLS0PHdmT5w4AdjvXbwV3WEyEe3hwXmDwc4ojJavuCoOjjx42MODZCyD\nWxQ0kJgz+yxrNhMIXAUSDIY889WBZcCSnAFDXCkPMMXHmwSDgVEZmTYjzXlgOQGzsDxHn1N/KpCY\nlMSNU1Daq/9mft4UgyWu/N4rN1z7DOZr23k6GY8r9QMkAS/7W0b7rGg280FaBuULuFlzO6qQASf9\nLMPV2xspDiC8gCHs065dYXjmc9gMgMEMZoPl2DtbPucCJtUDxleyvKdSLguGxtnGC5a5lr4tZ9nP\nwLP216d4Xpv77FoMZ3wsgy/YG648+trXZuWMvJ83vxthf/bndTZ+V45Pjj/84KoHNEjJOwG52FfU\ncys3R469s20t5x2yQ/ncP8rwsMyDZsCSzLnalh2Nv1S2pd2le1j+bt14GzrFw/Idnnu+N2ePsSu/\nE2fOxSVlLNM29DtnOyKsB5Zjl224PrCLs+Vz6Fy8fVWpUoUpU6bku75Hjx706NHDZnm9evU4dOhQ\nkfd/Sz5m6eHhQefOndm5cycrVqywWZ+YmMhPP/3EfffdZ/N4Yn7KlClDnTp1WLFihXXGdrAMnDJz\n5kx8fX2tc9p5eXnRvHlz1qxZQ3R0NE2bWrrDmzZtSmZmJlOnTqVOnTrWxyCDg4Np3rx5nn9Vq1YF\noHz58tSqVYuVK1fadK8CzJ07F09PT9re8HiC2Wxm3rx51p+NRiOzZ88mJCSE5s2bO/SZ/2qNjSbM\nwFY7kzhvuTaZdlOjYyMPHrk2sfbddh4hKso+G18b+XCjnfK/XltWN9cccc6W3+rlyXovT/Z42p5q\n+zw8uIpl3rScuyo59W/7/XfH4rmJn7eUGYKwzAF30k7P9yEPD9KwTEOQ8wfckXiaXIvH0for5qo/\nCxjp78sfHgZqmEx8ejX9b5fIAdS6NtT4Xjs38/ZcW1a7gKHGg42WOc4ue1lGxbvRCT/LRWG5LMsN\nB0fLh2Vev0OYDXxW0XIxVTkDXjmV/8WUjxn2Blom/j1m5/5cziTAOZ8b4IfS8EU4/GHnT8DWa5Nt\nN0jO+3kvJSZy+pztkI9/9ud1Nn5Xjk+Ok9fK25vPTmwV9dzKzZFj72xbGxYHk2Js/405ZikfmmX5\neWKMa/U7Gz9ArWvHY8cu279bOXMlVs81VL+zx9jZ8s6ei3uCLJOIx9iZOP3oteMTnnn9hqKz5XPo\nXJSb5ZZM5sAy11pkZCQjRoxgwIABzJo1i8WLFzN+/Hi6du1KWlpannfmHPH6669jNBp59NFHmTRp\nErNnz+aJJ57gwIEDvPrqq3m6OVu3bm0dnSZnkJOaNWsSHBxMXFycU6NYvvXWWxgMBnr27Mm4ceNY\nvHgxM2fOpFevXqxfv57Bgwdbe/BymM1mJk2axNtvv838+fPp3bs3e/bsYdSoUQ4nsH+1h7Ky8Qbm\neXvzR66L9R2eHqz18qSs2UyrXMPIxxoMxBoM2Evvoj08MIDdyaKLss/Hrs1rNtfHmwO57trHGgxM\nvzbUfe4Jtp0t3yXLMlH25z4+XMqVr8QaDIz188EAPJbrXYCc+pf8+KND9d/Mz2u4Vr8ZGOPnQ+6p\nls8bDIzztcTf3cl4cqYOcLT+3J93po830dfm5/soLYMS/D3dd8Uy79LK0LwXaPsDLBf2pbItd39z\nnPO2/Ms5ewxcH81tTljeYb0vecG8a93CDyQ6V/7+XCPEfVfGMilu2Sz4dxwEFfKYXk7935TLO6Fv\nrC+sKG2JoUOuofPrplzfT+7rtJWhcNTfMnT/3Wm28U+dP+eW+LzOxA/OH58cp679ubA3gbLYKuq5\nlZsjx96VtuaMotTvaNtpe+28WbpqJcdz3Ww47w3LylhiaJ3rC97ZY+xseWfPxZbXPvuCG86t894w\n99rrdW0vu14+h85FuVluyccswTKgyZIlS5g1axbr1q3jiy++IC0tjXLlytGxY0f+9a9/UaZMGWv5\n/N6Zy728fv36fP3113z66afMnDkTo9FIzZo1mTRpEg8++GCe7Vq3bo3BYOCuu+6yJnkGg4FGjRrx\nyy+/OJXM3XPPPSxcuJBp06axcuVKLl68SHBwMNWrV7e775x9zZgxgzfffJNly5ZRtWpVPv/8c5se\nvFtZebOZgZlZfOHjzXMBfjQ0msgA9nh64AWMSs/Mc+eqX4Dlr8D8q+k2j+idvzZcfqlCHst0dp81\nTSYGZmbxpY83L/r7UtdowhvY7+lBJvCPrGzrpN6ulH80K5tdnp5EeXrQN8CfOkYT6VimB8gCumZl\n0ylXslXTZOIfjzzCV8uXO1T/zf68/TKzOOLpwT4PD54K9Oceo4ks4JCnBxlYHnvNncw5/Tt3ov4k\nrk9NEWw2M8HX/gvvJcxmnrczdcXtpHQ2dL9omS9qdGW4+6rl8asYf8sjPv3O5r1T924Vy3//e+L6\nfE1dEyyP/Rz1hzciofpVy6NBJ/wtj+01TLme3DhbPtXDMvw2QIDRkoDYE2y8Pmlu50twNMAyX9rb\nVSxDqWcbIDrAcqH8RPz1xw4B7k2G7SUsj5u9HQmV0y2PXJ3zsXzG/jd0wHVNgNim1Thy7Ogt8Xmd\njd/Z45Mj4Vq3dsjtPf1isSmOcyuHo8fe2XPRWa7W72j8kenwZLfufLNiGWMrWXrhPM2WCc0zDfDQ\nJaiaK4Fx9hg7U96Vc7HNZTgSAAcDLOdW1TRL/Sf8LMep9RVonnR9W2fLO3s8RZxlMBc0Moj8JUaN\nGsWyZcuK5TnaHPv27cN46tSfOgBKjs2ennzr48VxDw/8zHC3yUjfzCyq3ZCYtQv0xwDMs5PM9ff3\nI9bDwNdX0ynjQJN1dJ85fvf04Ftvbw57emACIk0mHs3MpnU+j4E6U94ELPX24icvL+I8DHgB1Y0m\nHsmyX/7CrBnsO3KE1eM/cTiem/l5jdfiX+vlRayHZY68KiYTD2Vl0yWfCbqdicfR+jd7evKOX+Gj\nyIWZzcy7+ufe+vyzB0DJsTsQ1oRaJqz1NcEd6ZYLt0o3XNQ/X91yd/y9Gy44jVgufHaEQPy1Q1sh\nA1pcgZZ2LkYcLb87CKZWKDz+0lnw3h95619TCn4NgQvelscLI9Og/WWokWa7fabBMnHy78GWHodS\n2VAvBTpczvuOTo6AHyaw+peN/PL14lvi8zobv7PHB+DdO+C8j2VuupJOXkS+Hml5PG/MMQj8mwyA\nkqOo5xY4d+ydPRdvlOIBr1a1bWNFqd+Z+INXTWT/kcOsGPMZf/hZ/u5FZFoSn/wm6Hb0GDtT3tVz\n0QSsLwnbQyyf2ctsqff+RPvxO1seinYuFrecAVCaPPLQXxtIPv7sa9aLUyfjWbkydevW/VP2V9yU\nzN2CbrdkTpyTMxegIyNiyq3hr0rmxDnBqyzzGzo6QqSIOEbnlntRMpeXuydzt+w7cyIiIiIiIpI/\nJXO3qMLmzRMRERERkb83JXO3oNGjR1tH0hQREREREbFHyZyIiIiIiIgbUjInIiIiIiLihpTMiYiI\niIiIuCElcyIiIiIiIm5IyZyIiIiIiIgb8vqrAxAREREREcnh6etBhcYhf8q+Lvu6d9+We0cvIiIi\nIiLyN6VkTkRERERExA0pmRMREREREXFDSuZERERERETckJI5ERERERERN6RkTkRERERExA0pmRMR\nEREREXFDSuZERERERETckJI5ERERERERN6RkTkRERERExA0pmRMREREREXFDSuZERERERETckJI5\nERERERERN6RkTkRERERExA0pmRMREREREXFDSuZERERERETckJI5ERERERERN6RkTkRERERExA0p\nmRMREREREXFDSuZERERERETckJI5ERERERERN6RkTkRERERExA0pmRMREREREXFDSuZERERERETc\nkJI5ERERERERN6RkTkRERERExA0pmRMREREREXFDSuZERERERERcEBcXx5AhQ2jWrBnNmjVjxIgR\nXLp0qdDtLl26xOuvv06LFi1o1KgRzzzzDLt27XJ6/16uBC0iIiIiIvJ3lpiYSO/evcnOzmbQoEFk\nZ2czbdo0oqOjWbhwIV5e9lOt1NRUnnrqKS5evEjfvn0JCQlh3rx59O3bl0WLFlG9enWHY1AyJyIi\nIiIi4qSZM2cSHx/Pd999R2RkJAD16tWjX79+LF26lJ49e9rdburUqZw8eZK5c+fSqFEjAB566CHa\ntWvHtGnT+PDDDx2OQY9ZioiIiIiIOGnlypU0bdrUmsgBNG/enMjISFauXJnvdsuWLeOBBx6wJnIA\nZcqUYcSIETRu3NipGJTMiYiIiIiIOCEpKYnY2Fhq165ts65WrVocOHDA7nZxcXGcP3+e++67z7rs\n6tWrAPTq1Svf3rz8KJkTERERERFxwvnz5wEICwuzWVeuXDmSk5NJSUmxWXfy5EkMBgOhoaF8+OGH\nNG7cmIYNG9KhQwfWr1/vdBxK5kRERERERJyQmpoKgJ+fn806X19fANLS0mzWJSUlYTab+fTTT9m0\naROvv/46Y8aMwd/fn8GDB7Nt2zan4tAAKCIiIiIiIk4wm80AGAyGfMvYW5eZmQlAcnIyq1evJigo\nCIAHH3yQdu3a8fHHH7Nw4UKH41DPnIiIiIiIiBMCAgIASE9Pt1mXkZEBYE3U7G3Xvn37POuDg4Np\n06YNBw4csNujlx8lcyIiIiIiIk4IDw8H4MKFCzbr4uPjCQkJsfsIZs47dqVLl7ZZV7p0acxms3VA\nFEcomRMREREREXFCcHAwFStW5ODBgzbrDh48SJ06dexuV716dXx8fDh69KjNutjYWHx9fQkNDXU4\nDiVzIiIiIiIiTurQoQNbt27lxIkT1mU5P3fp0sXuNv7+/rRp04b169dz7Ngx6/LY2FjWr19P27Zt\nC3wP70YaAEVERERERMRJAwYMYPny5fTp04f+/fuTnp7O9OnTqVu3Ll27dgUsSdquXbto0KABlSpV\nAmD48OH8+uuvPPPMM/Tu3RsvLy/mzp2Lv78/w4YNcyoG9cyJiIiIiIg4KTQ0lPnz51OzZk0mTJjA\n3Llzad++PVOnTsXb2xuAqKgoRowYwW+//WbdLiIiggULFtC0aVNmzJjBlClTqFWrFl9//TUVK1Z0\nKgb1zImIiIiIiLigSpUqTJkyJd/1PXr0oEePHjbLK1asyCeffFLk/atnTkRERERExA0pmRMRERER\nEXFDSuZERERERETckJI5ERERERERN6RkTkRERERExA0pmRMREREREXFDSuZERERERETckJI5ERER\nERERN6RkTkRERERExA0pmRMREREREXFDSuZERERERETckJI5ERERERERN6RkTkRERERExA0pmRMR\nEREREXFDSuZERERERETckJI5ERERERERN1SkZO7cuXN88cUX1p/j4+N59tlnadCgAV26dGHVqlVF\nDlBERERERERsuZzMRUdH06VLFyZMmMDZs2cB+M9//sOWLVsICQnh3LlzDBs2jK1btxZbsCIiIiIi\nImLh5eqGEydOJCsri9GjR1O2bFnOnj3L5s2bqVOnDgsWLCAxMZEePXowbdo07rvvvuKMWURERERE\nbld+HhjuD/3T9uXOXI4+KiqKzp070717d7y8vPj5558xm8088sgjeHp6Urp0aTp06MC+ffuKM14R\nERERERGhCMlccnIyYWFh1p83bdqEwWCgZcuW1mXe3t6YTKaiRSgiIiIiIiI2XE7mwsPDiY6OBiAl\nJYXt27cTERFBZGSktcyOHTuIiIgoepQiIiIiIiKSh8vvzLVs2ZL58+czatQoTpw4QUZGBl27dgVg\n7969fPHFFxw6dIiXXnqp2IIVERERERERC5eTuWHDhvHHH3+wdOlSAOrXr8/AgQMBWLVqFevXr6dj\nx4706dOneCIVERERERERK5eTucDAQKZNm0ZMTAwmk4m77rrLuq579+506dKF2rVrF0uQIiIiIiIi\nkpfLyVyO6tWr2yyrUaNGUasVERERERGRAhR5YoUVK1bQv39/mjdvTp06dQBYuHAh//3vf0lMTCxy\ngCIiIiIiImLL5Z45k8nEiy++yJo1awAICAjAaDQCEBMTw7x589i2bRvz5s2jVKlSxROtiIiIiIiI\nAEXomZs9ezarV6+mZ8+ebN++nb59+1rXvfzyywwcOJBjx47x5ZdfFkecIiIiIiIikovLydzixYup\nV68e7777LiVKlMBgMFjX+fr68vLLL9OkSRPWrVtXLIGKiIiIiIjIdS4nc6dOnaJZs2YFlqlXrx7n\nzp1zdRciIiIiIiKSD5eTuaCgIM6ePVtgmdOnTxMUFOTqLkRERERERCQfLidzzZs3Z82aNcTExNhd\nv3fvXtauXcu9997rcnAiIiIiIiJin8ujWQ4dOpQNGzbw+OOP88QTT3DixAnAMlXBvn37+Pbbb/H2\n9ub5558vtmBFRERERETEwuVkrkqVKsyaNYuRI0cya9Ys6/IRI0ZgNpupWLEiH374IVWrVi2OOEVE\nRERERCQXl5M5gLp16/LDDz+we/duDhw4QHJyMgEBAdx11100adIED48iz0kuIiIiIiIidhQpmctR\nv3596tevXxxViYiIiIiIiAOK1HV27tw5vvjiC+vPFy5c4Nlnn6VBgwZ06dKFVatWFTlAERERERER\nseVyMhcdHU2XLl2YMGGCdYqC1157jS1bthASEsK5c+cYNmwYW7duLbZgRURERERExMLlZG7ixIlk\nZWUxevRoypYty9mzZ9m8eTN16tTh559/ZvXq1ZQtW5Zp06YVZ7wiIiIiIiJCEd6Zi4qKonPnznTv\n3h2An3/+GbPZzCOPPIKnpyelS5emQ4cOLF++vNiCFRERERERuVXExcXxwQcf8OuvvwLwwAMPMGLE\nCEJDQwvc7rHHHmP//v02yzt27Minn37q8P5dTuaSk5MJCwuz/rxp0yYMBgMtW7a0LvP29sZkMrm6\nCxERERERkVtSYmIivXv3Jjs7m0GDBpGdnc20adOIjo5m4cKFeHnln2odO3aM9u3b06FDhzzLw8PD\nnYrB5WQuPDyc6OhoAFJSUti+fTsRERFERkZay+zYsYOIiAhXdyEiIiIiInJLmjlzJvHx8Xz33XfW\nHKhevXr069ePpUuX0rNnT7vbxcXFkZaWRtu2benatWuRYnD5nbmWLVuyYcMGRo0axYABA8jIyLAG\ns3fvXp577jkOHTpU5ABFRERERERuNStXrqRp06Z5OrOaN29OZGQkK1euzHe7o0ePYjAYuPPOO4sc\ng8s9c8OGDeOPP/5g6dKlgGWuuYEDBwKwatUq1q9fT8eOHenTp0+RgxQREREREblVJCUlERsbS6dO\nnWzW1apVi02bNuW7bUxMDABVq1YFIC0tDX9/f5ficDmZCwwMZNq0acTExGAymbjrrrus67p3706X\nLl2oXbu2q9WLiIiIiIjcks6fPw+QZwyRHOXKlSM5OZmUlBSCgoJs1sfExBAYGMjo0aNZuXIlV69e\npVKlSgwbNozOnTs7FYfLyVyO6tWr2ywrU6YMJUqUKGrVIiIiIiIit5zU1FQA/Pz8bNb5+voClh43\ne8nc0aNHSU1NJTk5mTFjxpCcnMycOXN46aWXyM7Oplu3bg7HUaRkbt++fSxYsIB3330XDw8Pjh07\nxtChQzlx4gQBAQEMHjyY/v37F2UXIiIiIiIitxSz2QyAwWDIt0x+65544gmMRiP/+Mc/rMs6d+7M\nww8/zJgxY+jatWuB9ebm8gAov/32G7169WLx4sWcPn0agP/85z8cP36cunXrUrJkST766KMCX/4T\nERERERFxNwEBAQCkp6fbrMvIyACw2ysHlmQudyIHlt68Rx55hISEBI4ePepwHC73zE2dOhVfX18m\nT55MpUqVOHHiBLt37+bee+9l1qxZpKWl0b17d+bMmeP0s59yc3iW8SVicv2/OgwpREIJbwD9rtxI\nxRaP/dUhiAP2nLL8UW2T8NpfHInI7UXnlnvZF1vyrw7htpAzH9yFCxds1sXHxxMSEmL3EcyC5Ew0\nfvXqVYe3cblnbvfu3XTp0oUmTZoAsH79egwGA126dAHA39+fBx54wDoXnYiIiIiIyO0gODiYihUr\ncvDgQZt1Bw8epE6dOna3O3/+PA8//DCTJk2yWXf8+HEAKlas6HAcLidzGRkZeQY5+eWXXwDL/HM5\nzGZzgTOfi4iIiIiIuKMOHTqwdetWTpw4YV2W83NOB9eNwsLCSEpKYuHChdZBVADOnDnD0qVLuffe\neyldurTDMbicaVWqVIk9e/YAcPHiRaKioqhWrRoVKlQAICsri40bN1KpUiVXdyEiIiIiInJLGjBg\nAMuXL6dPnz7079+f9PR0pk+fTt26denatSsAsbGx7Nq1iwYNGljzojfffJOhQ4fy5JNP0rNnT1JS\nUvjqq6/w9vbmjTfecCoGl3vm2rVrx86dO3nmmWfo1asXRqORHj16ALBx40aefPJJTp06xeOPP+7q\nLkRERERERG5JoaGhzJ8/n5o1azJhwgTmzp1L+/btmTp1Kt7eljEQoqKiGDFiBL/99pt1u3bt2jFx\n4kQCAgIYN24cs2fPpmHDhnz99dfceeedTsXgcs/ckCFDSEhIYNGiRZjNZjp37kzv3r0B+P333zl0\n6BD9+vVTMiciIiIiIrelKlWqMGXKlHzX9+jRw9rhlVubNm1o06ZNkffvcjLn6enJu+++y6uvvorZ\nbCY4ONi67oknnqBPnz7WEVlERERERESkeBV5dBJ78yfkDNUJlkFQHJ30TkRERERERBxTpGTu9OnT\nrFmzhkuXLmE0Gq0zoZvNZrKzs0lMTGTbtm1s3ry5WIIVERERERERC5eTuT179tCnTx8yMjKsvW85\nyRxg/Tl3L52IiIiIiIgUD5eTuYkTJ5Kens4///lPmjZtyttvv02dOnV49NFHOXr0KNOmTQNgyZIl\nxRasiIiIiIiIWLg8NcGePXto0aIFw4YNo0WLFtx7772cOnWKli1b0rdvX+bOnUtKSord2c1FRERE\nRESkaFxO5lJTU6lZs6b152rVqhETE4PRaAQgMjKStm3bsm3btqJHKSIiIiIiInm4nMyVKFGCtLQ0\n68+VK1cmKyuL48ePW5dFRERw5syZokUoIiIiIiIiNlxO5u655x7Wrl1LYmIiADVq1MBsNrNjxw5r\nmejoaPz8/IoepYiIiIiIiOTh8gAo/fr1o0+fPjz88MN88MEHtGzZkkaNGjFu3DguXLjAxYsX2bhx\nI+3atSvOeEVERERERIQi9Mw1adKE8ePHExgYSHp6OgBvvPEGAQEBTJkyhcWLFxMeHs7w4cOL8z9X\n2wAAIABJREFULVgRERERERGxKNKk4R07dqRjx47W+eXuvvtuVq9ezfbt2/H19aVRo0b4+/sXS6Ai\nIiIiIiJyXZGSuRwGg8H6/4GBgbRt27Y4qhUREREREZF8OJzMzZ8/3+WdPPXUUy5vKyIiIiIiIrYc\nTubee+89DAaD9ZFKRxkMBiVzIiIiIiIixczhZG706NE3Mw4RERERERFxgsPJXI8ePW5mHCIiIiIi\nIuIEl6YmOH/+PMnJyXbXzZw5k+jo6CIFJSIiIiIiIgVzKpkzGo28+eabtG3blg0bNtisv3TpEmPG\njOGRRx5h5MiR1vnnREREREREpHg5nMyZzWYGDx7Mt99+S8mSJe3OH+fh4cGgQYMICwtj+fLlDB48\nuFiDFREREREREQuHk7lFixaxYcMGOnTowLp162jXrp1NmZIlSzJs2DC+//57WrRowdatW1m2bFmx\nBiwiIiIiIiJOJHPLli0jLCyMsWPH4uvrW2DZoKAgxo4dS0hICIsXLy5ykCIiIiIiIpKXw8nckSNH\naN26NT4+Pg6VL1myJK1ateLw4cMuByciIiIiIiL2OZzMZWdnU6JECacqL1++PJmZmU4HJSIiIiIi\nIgVzOJmrUKECp06dcqry2NhYwsLCnA5KRERERERECubwpOGNGjXi+++/5+LFi5QpU6bQ8hcvXmTD\nhg20atWqSAGKiIiIiMjfiLcnhuol/7R9uTOHe+Z69epFRkYGL774IqmpqQWWTUlJYciQIWRmZvLk\nk08WOUgRERERERHJy+Fkrnbt2gwaNIioqCg6derE1KlT2b9/PykpKZhMJi5fvsyePXuYNGkSHTt2\nZPfu3XTv3p2WLVvezPhFRERERET+lhx+zBLgxRdfxMvLiylTpjB+/HjGjx9vU8ZsNuPt7c2AAQMY\nNmxYsQUqIiIiIiIi1zmVzBkMBoYOHUrnzp1Zvnw5mzdv5ty5cyQnJ1OyZEkqVapEq1atePjhh6lU\nqdLNillERERERORvz6lkLkfVqlV56aWXeOmll4o7HhEREREREXGAw+/MiYiIiIiIyK1DyZyIiIiI\niIgbUjInIiIiIiLihpTMiYiIiIiIuCElcyIiIiIiIm5IyZyIiIiIiIgbUjInIiIiIiLihpTMiYiI\niIiIuCElcyIiIiIiIm5IyZyIiIiIiIgL4uLiGDJkCM2aNaNZs2aMGDGCS5cuOVXH4cOHqVOnDp9/\n/rnT+/dyegsREREREZG/ucTERHr37k12djaDBg0iOzubadOmER0dzcKFC/HyKjzVMhqNjBo1CqPR\n6FIMSuZEREREREScNHPmTOLj4/nuu++IjIwEoF69evTr14+lS5fSs2fPQuuYPHkyR48edTkGPWYp\nIiIiIiLipJUrV9K0aVNrIgfQvHlzIiMjWblyZaHbHzlyhMmTJzN48GDMZrNLMSiZExERERERcUJS\nUhKxsbHUrl3bZl2tWrU4cOBAgdvnPF7ZsmVLunbt6nIcesxSRERERETECefPnwcgLCzMZl25cuVI\nTk4mJSWFoKAgu9tPnTqV2NhYJk+eTFZWlstxqGdORERERETECampqQD4+fnZrPP19QUgLS3N7rYx\nMTFMmjSJESNGUK5cuSLFoWRORERERETECTnvuBkMhnzL2FtnMpkYOXIkTZo04bHHHityHHrMUkRE\nRERExAkBAQEApKen26zLyMgAsPuI5bRp04iJieGrr77i8uXLAFy5csVa1+XLlylZsmSBSWJuSuZE\nREREREScEB4eDsCFCxds1sXHxxMSEmL3EcxNmzaRlZVl0ytnMBiYNm0a06dPZ926ddb6C6NkTkRE\nRERExAnBwcFUrFiRgwcP2qw7ePAgderUsbvdqFGjrD1xORISEnjllVfo3r073bt3p0yZMg7HoWRO\nRERERETESR06dGDOnDmcOHHCOtfc1q1bOXHiBAMHDrS7Ta1atWyWnT59GoCKFSty7733OhWDkjkR\nEREREREnDRgwgOXLl9OnTx/69+9Peno606dPp27duta542JjY9m1axcNGjSgUqVKxR6DRrMUERER\nERFxUmhoKPPnz6dmzZpMmDCBuXPn0r59e6ZOnYq3tzcAUVFRjBgxgt9++63AugwGg8ODnuSmnjkR\nEREREREXVKlShSlTpuS7vkePHvTo0aPAOiIiIjh06JBL+1fPnIiIiIiIiBtSMiciIiIiIuKGlMyJ\niIiIiIi4ISVzIiIiIiIibkjJnIiIiIiIiBtSMiciIiIiIuKGlMyJiIiIiIi4ISVzIiIiIiIibkjJ\nnIiIiIiIiBtSMiciIiIiIuKGlMyJiIiIiIi4ISVzIiIiIiIibkjJnIiIiIiIiBtSMiciIiIiIuKG\nlMyJiIiIiIi4ISVzIiIiIiIibkjJnIiIiIiIiBtSMiciIiIiIuKGlMyJiIiIiIi4ISVzIiIiIiIi\nbkjJnIiIiIiIiBtSMiciIiIiIuKGlMyJiIiIiIi4ISVzIiIiIiIibkjJnIiIiIiIiBtSMiciIiIi\nIuKGlMyJiIiIiIi4ISVzIiIiIiIibkjJnIiIiIiIiBtSMiciIiIiIuKGlMyJiIiIiIi4Ia+/OgAR\nERERERErb2+4q9afs68U7z9nPzeJeuZERERERETckJI5ERERERERN6RkTkRERERExA0pmRMRERER\nEXFDSuZERERERETckEazlJvul0OpTP35EjHnMgCoX8WfIR1KU7eSn0PbG01mZv1ymWW/JnEyIYtA\nXw8aVvFjwIOhNKjib3ebQ6fTmbT2Er+fSCM53USFkl50axjCwDah+HgZbOqftzmR5b8l8ceFTMxm\niCznQ/fGITzdoiQeHnnLL/31Cq99ez7feEc/UZ7ujUPyXf/56gQmrklg2ztVKRngabfMHydj+XLB\nmZsSv7PxOFN/zeHRBe4LwAAc/KiGy/Hc6NNVF5m87hK/vleVIL/Cy99ONm47xtQ5W4k5dgGABnUr\nMmRAK+rWrOBSfZ9P38Tn0zex/cdhlCxhe24t/WEvo97/Pt/tP3i9K9071813/bn4JLr840tKlvBn\n3eLnixyP0Whi7sIoVqzaz4lTCZa2WTmU7p3r8kzPJoW3/ULqB1j8/R7mL/6N438kYDBAjarl6PV/\nDen+kP3PeSj6PJNmbua3PbEkp2YQHlaCrh1rM6j3ffh4522fRqOJWd/sZOnKvZyMu0xggA8N61Vi\n4NP30qBuxTxl777vfwV+FgCDwcChLaOsP2dmGZk+fzvfrz5A7OlESocGcG+jKjzXtwWVK5ay2d7Z\n8rezop5bf0bbdLatORuPM20/OzubFStW8trOjS61neL8bnDlXAHnjic4d3yK2h5ECnJLJnMjR45k\n2bJlvPXWW/Tq1ctm/enTp2nbti1DhgxhyJAhxbJPs9nMN998w7Jlyzh69Cgmk4mIiAjatm3LwIED\nCQoKsonv8OHDxbLv29mC7Ym8vTgefx8DzasFkJJuYsuRVLZGX+XLARHcWz2g0DqGf3WOH/ckU8Lf\ng5Z3BZCabmLjoVQ2HErlgyfL07Vh3sRpzb5kXpp3DqPJTMMq/oQEePD7iTQ+X5PA4bMZfNYn3FrW\naDLzr+mn2Rx9lWA/DxpGWv4o7D6ZzugVF9h+9CoT+4ZjMFz/oj10JgMD0OruQEoG2HZuVy6d/xC3\n6w+mMGXdJQr62t4ZtYtPJk7DZMy+KfE7E4+z9XdrGJzv59p9Mp3YhCxqRvgW6fjktnZ/CtPWO17+\ndrJg2S7eGvMj/v4+NG9chZTUDDbvOM6WX0/w5cdP0LxxFafqW785hsmzt+bbVgAORp/HYDDQ+t6q\nlAixvRlTKaJkgfsY9d/vSb2ake/FqTPxGI0m/vnKt2zecZzgID8a1qsEwO79pxn96Vq2/3aSSR8+\nln/bd+DzfjBhLbO+2Ym/vw9NG1bGZDKz8/dTjHzvOw7HnGfkC+3ylF+z4QjD3lyG0WiiYb2KhAT7\n8fveOD6fvokjR+P5bPSjecq/8vZyflx3iBIh/rRsdiepVzPZuOUoG7bE8OEb3ejasba1bLeOdfKN\nc/f+08SeSaRmjTDrsoyMbPoM/Yrd++Pw9/ehcf1KZGUZ+X7NAdZsPMLksY/T+J5KLpe/nRX13Poz\n2qYzbc2VeJxp+xkZ2bzzzmiiY47h7+/tUtspzu8GZ88VcP7cdeb4FLU9iBTmlkzmchr0J598QseO\nHQkNDb3p+xw+fDirVq2iU6dOdOvWDQ8PD/bv38/06dNZvXo133zzDSVKlLDGp5OucOevZPP+sguU\nCfLk6yGVqXgtydl0OJXnZ57mtW/P8dPISLw98z+W3+9K4sc9ydSO8GXmPysS7G+5O7bz2FWenXqa\n/y6Np23tIAJ8LUlVQnI2ry04j7cnTH42ghY1AgG4nGqk7+RY1u1PYe3+FNrVsSTn326/wuboq9St\n6MfkZ8MJDbKcEvFJ2Qz4Mo4NB1NZsP0KTza/fpF66LSlh3HsP8pb43HEoh1XeG9pPNkmc77JR0Jy\nNpO+nI2npydT+ofdlPidicfZ+j/sZf+u9cmLmfQYf5IQfw8m9Qu3W8aReHJbsD2R95ddINvE3y6Z\nO38hmf+OX02Z0EC+ntqHSuGW4//LtmM8/+pC/vP+D/y08F94eznWPheu2M1741aTnW0s8LvtcIyl\nR3rsO90IDnKsZz3H/EVRbIv6w6HvTkfiWbB8F5t3HKduzXCmjO1JaCnLuRJ/MYVnX/yaDVuOsmDZ\nLp7s0dCl+g8fjWfWNzspXy6Er6f0pkKY5abRsT8u0mvQHGYv+JX/61KPGlXLAZBwKZVR73+Pt5cH\nU8Y+ToumkQBcSrxK36FfsfaXaNZuPEK7++8C4PvVB/hx3SFq312BWRN6WY/nzt9P0v/Fb3hv3E+0\nbV2dAH8fAMa81c1unCdjL9G97wxCgv344sOe1uUTZ2xm9/44qkWWYcrYJ4ioYPn7tf/wWfq/8DUv\nv7mMVQv+hb+ft0vlb1fFcW7d7LbpbFtzNh5n2/7EGZuJjjlGxYhwZk/o7nTbKe7vBmfPFWePp7PH\npyjtQcQRt/Q7c0lJSfzvf4V3lxfVrl27+P777xk+fDhjx47lqaeeolevXrz//vuMHTuWEydOMG3a\ntJsex+1m3pbLZBvNDHgw1JrIgaVHq3vjEM4lZrNmX0qBdfywKxkD8EqXsnkSp6ZVA7ivRgDJ6Sb2\nxqZbl8/fmkhqhonn2pW2JkIApQI9+XenMpQL8eLImQzr8mW/JWEAXu9R1pqoAJQL8WJE17KYgR93\nJ+eJ6cjZDMJLeTucyMUlZDF01hneWHSeID8PAn3zP+3mb00kLS2dR7t3vmnxOxOPK/XfyGw288r8\ns6Rnmnnr/8IIK5H3D7oz8QDEJmQyeOZp3l4cT4i/B/4+f7dUDuYtjCI728SAp5tbLzYBWjevSvfO\n9Tgbn8SaDUcKrSf2TCJDRi7ijQ9WEhToQ2BA/r2mYLmICS9fwulE7lTcZcZ+sYEm9StjNpuLJZ7l\nP+7HYDDwxksdrBdHAOXKBDHyhXaYzWZWrjuUZ5v4+AuMHTvBofq3/2q5uOz+UF3rxRpA1SpleLiD\npcfstz1x1uXzF/9G6tVMnuvX0noxCBBaMoB/D2pNuTJBHD4ab13+/ZqDGAwGXnn+wTzHs2nDO2jR\nJJLk1Az2HjyTb3xgObdefms56elZvPVKR8LKXe8ZX/LDHgwGA++/1sV6cQ1Q5+4K/KtvC+IvprBg\n6S6Xy9+uiuPccqVtOtP2nW1rzsbjbNtf8sMeAP71r2edbjs347vBnoLOFWePp7PHx5X2IOKMWzaZ\nMxgMtGnThh9++IHt27ff1H3t2rULg8FAixYtbNZ16tSJsLAwdu/efVNjuB1tOXIVgAdqBdqsa1M7\nCDPwy+HUAuuY0CecZS/dQZOqto9eXM0wAeCVqxWv3Z+Cp4eBXvfZ9kS1qR3EhjfuZHCH0tZlpQI8\nqRrmQ60I24vTO8pY7ohfSDZal8VdyiI53VTgo4I3+uC7eNYdSKF5tQAW/rsyJfzzP+3W7k/B09OT\njm0fuCnxOxuPK/XfaNHOJPbHZdDq7kAeqm/7GKYz8QC8v+wC6w+mcl/1ABb9uzIhf7P35AC27DwB\nwIMtqtmsa9uqOmazmV+2HSu0ng8+Xcu6TTE0b1yFRTP62X10Mkfc2USSU9KpdcPjSYUxm82M/O93\n+Pl68dbwjsUWT6kS/lSrUoZad5W3WXdHJcs7Ohcu5r1ZNHvOV/wa9btD9Rs8LLGfv2B7s+LyFct3\nW+7t12w8gqenB//4P9u7621b1WDj8qEMebaVddlno/+P5XOepWmDyjblr6ZlAuDlWfC5sOi7Pew/\nfJbW91alc7ta1uWXEq9y8VIqIUF+3FM7wma7Jg0sF86bdhx3qfztrDjOLVfapjNt39m25mw8zrT9\nnLYTGBhA9epVbcoX1HZu1neDPfmdK+D88XT2u8GV9iDuJS4ujiFDhtCsWTOaNWvGiBEjuHTpUqHb\nbdu2jV69etGwYUNat27N//73P65ever0/m/JxyxzvP7662zdupV33nmHFStW4O2d/+MdUVFRfP75\n5+zZY7lDVK9ePYYOHUrjxo0L3U9gYCBms5lvv/2WUaNG2XTdr1u3Di8v20O1f/9+PvzwQ/bu3Utw\ncDBdunTh5ZdfxsfHx1rmzJkzjB8/ns2bN5OamkpkZCRPP/00PXtauvhHjx7NnDlz2LFjByEhljs8\nMTExdO3alTZt2jBp0iRrXe+//z5Lly5lx44deHre+hewx85n4uNlsF7053ZnOZ9rZTJs1uXm7Wmg\nRgXbxGnxziv8/kcalUp7WwdBycw2c/x8JneG+RDk50H02QxW7UnmQnI2EaW86dowhIjQvG1o8rO2\nFy459l/r8Stf4vrv/vC1XrFSgZ68vfg8W6KvciEpm8plvOnZrARPtyhp037uDveje+MS1kcj85MT\nf3hEBP7+fkQfKf74nYnH1fpzu5phYsKqi3h5wMhuZe2WcSYegFoVfXn83hK0qe1Y+dvR0RMX8fH2\n5I5Kto+g33lHaWuZwtSsEUaPznWtjw8V5HC05RHLUiX8eWvMj2zZeYILF1OoXLEUjz9Sn6cfa2z3\nsacZX+1g177TjHvnEUqH2t7YcTWeyWMfz3fdvoNnAShfLu/Ngyp3VOb++1sy8NHC206LppEYDAZW\nrNrP3dXL8Ugny6AGi7/fw6qfD1O5YinatrIM5JOZZeT4HwncWaU0QYG+RB+L58d1h7iQkEpEhRJ0\n61gnT48FgLeXp/UxrNwWfbeH3/bGUjmilM0gKLldTcvk06kb8fL0YOS/2+ZZZzZZejgCA2y/ewE8\nrw22cOJkgkvlb2fFcW650jYdbfuutDVn43Gm7ee0HX9/+++6FdR2btZ3w40KOldcOZ7OHB9wrT2I\n+0hMTKR3795kZ2czaNAgsrOzmTZtGtHR0SxcuNBu/gCWRO7ZZ5+lbt26vPLKK5w7d47Zs2dz4MAB\n5s+f71QMt3QyV6FCBZ5//nnGjRvH1KlTGTx4sN1y69atY+jQoVSuXNlaZuHChfTt25fPPvuMBx98\nsMD9tG/fno8//pg5c+awbt06OnTowH333Ufjxo3x9/e3+4swm8307duXbt260bVrVzZs2MDs2bMB\nGDXKMkJSXFwcPXv2JCsri6effpqyZcuyevVq3njjDU6ePMkrr7xC69atmTNnDjt37qRdO8sLszt2\n7ADg999/z7PPLVu20KpVK7dI5K5cNZJpNBNe0n4TKxNsWZ5QSK9ObpdTjby56DzRZzM4lZBF9fI+\nfPJMuPWPxenLWRjNUDbYi8nrEvjsJ8uIUQBmYPK6S4x+orzd3qEbGU1mJq1NwAB0qHf9wu/QaUsC\ns3DHFUoHedLgDn/KhXhxIC6d/y2/wK4/0vn46bzvjQ3J1ZNWkJz4S5UswZIVK1m4+GSxx+9MPK7W\nn9s32xK5mGKkW8MQIsvav1B0Np4XOpZxqvzt5kpSGplZ2YSXL2F3fZnSlt9HwuWCe72BPHebC3Po\n2vty367YTelSgTSoG0G5MkEcOHyO98evYde+03z8bvc82xw9cYEJX/5C+/tr0LldLetd6+KIJz9G\no4lJMzdjMBjo+ODdedb17Nnj2v8V/ghqtciyvD28E//7ZA2jP13L6E/XWte1bVWDd0c8hK+v5Xvs\n9NlEjCYT5coEMXnWFiZM++X6uWs2M3nWFka//rBNj0COS4lXeevDHzlyNJ5Tpy9T/c6yfPr+/+FZ\nQM/cN0t3cfFSKo90qktk5bznUGipAEKC/Dgbn8S5+CTKl8s7SNSufZZHwHJ+H86Wv10V57llT0Ft\n09G2X9S25kg8zrT9nLZz8WICCQmX4IaO5vzazp/53VDQueLK8XTm+BSkoPYg7mPmzJnEx8fz3Xff\nERlpeUy3Xr169OvXj6VLl1o7b2700UcfER4ezty5c62dQOXLl+e9995j06ZNtGrleJu/ZR+zzNGv\nXz+qV6/Ol19+SWxsrM16o9HIu+++S/ny5VmyZAkDBgxgwIABLFq0iNKlS/POO+9gNBacMISGhvLl\nl19SuXJlzpw5w8yZMxk4cCBNmzblueeeY9++fTbbGAwGXnjhBd58800ef/xxJk6cyB133MGaNWus\nZcaNG0dSUhLz5s3jxRdf5KmnnmL27Nk88MADzJgxg2PHjtGkSRP8/PzyPEq6Y8cOypcvz5UrV4iJ\niQHg7NmzHD9+nPvvv9/VQ/mnSsu0PALp522/ifl5WxKwq9fKOeLUxUzW7U8hNiELA2AyQfTZ6z17\nKemWuvbFpvP5Twn8q20o61+PZPNbd/JKlzIYTWZGfnOOI2cL7g0EeGdJPDHnMqlazodHm17/w37k\nrGUky0cahfDzf+7ks77hzB9cicUvVia8pBer9iSzcMcVhz9TbjnxHz32BwuXfHdT4i8ujtRvNpuZ\nvyURDwMMfPDvNaz5zZSWngWAXz4XCznLr6ZlFet+D8fEW98TWb9sCJ9/8BhfTe7Nkln9CS9fgh/X\nHWLhiuuPoxuNJka89z0BAT68PbxTscZSkHc+WkXM8QtUrVKaR7veU6S6GtevRLNGdxAU6EuLpnfS\ntOEd+Pl6s/XXE6z4ab+1XEqq5bHIvQfP8tm0TTzXtwUblg5hy/cvMHxwG4xGEyPf+54jud67yS32\n9GXW/hJN7JlEDAYDJpOZ6GP2y4Ll3Jq3KAoPDwMDn7nXZr3BYODhDrUxm828+u53JF5Js647cjSe\niTM2A5CZaXSp/O3qZp9bxdE2i9rWHI3H0baf03YAPp841aG282d+NxR2rrh6PB09PgUpzu8q+eus\nXLmSpk2bWhM5gObNmxMZGcnKlSvtbpOZmUnp0qV5/PHH8zzN17RpU8xmM0eOFH7DMbdbumcOwMvL\ni7feeotnnnmGd955x2YgkgMHDnD+/HleffVVAgKuD3MfHBzMU089xfjx49m/fz/33FPwiVKvXj1W\nrVrFpk2b+Pnnn9m6dStxcXFs2LCBjRs38tFHH9GlS5c82+T+2WAwUKtWLdautdyhMZlMbNy4kZYt\nW3L33XnvuDz33HNs2LCBdevWMWjQIJo1a5Ynmdu5cyeDBg1i3LhxREVFUb16dX755Rc8PDxo3bq1\ncwcwl0zPEuwNe9nl7Z1x2fcKMIIM79J292kymYDnyTL4ORxTRokMZkwxYTKa+PX33cyev5CX5p/n\ndOnuNGlUn8OJR4GxJKeb6fpQB+7v9Sg5s8E1qQrdvFawZPlKPtoWxgvPPZvvfmbM+ZqfdsQQGBjI\n8y+9yqHw68+59385my7xF6lQvhyHPXIlqmHwdL+9jBk/iek7fbirW/6fKdPzNcxc4mDZwQQFXX+0\nJCf+q2lpdOncmfuf7Fbs8TsTT1Hrj/p9D2cSv6Bh/XpcvWcwewut2bV4sjxHYiaR/eWGEpDPoz43\n3Snn3t8oisuXEwEDGdm+7Dll+8iR5dwykJXtYXd9QTKzvTGb4cDpagRdydvj2v+fI+jSPZ4KFcpz\n6Gyutu9xF08/E8iYjz5h2tf7qVH/CQAWLV7OgcPn+Pe/nyM2uSGxyZCcnAIYyMz2dii2guKxZ8aM\nufy0eo+lbQ55mYNn8o6cmm20/MnL2XdB9UdHH+X9/80hPLwC48Z9RMmSlpsW586dZ/QH4/jws59J\nowYtWtzL4VgDYCA5JYOuDz9E6w5PcC4dSIfGrRrS7WwwS5asYMyUA7ww1PZua7p3FWZMb47JZOTX\nX39n9pyvGfbGcuIuV6ZJE9v3eKJ+28WZc0k0bHgPqZ4t2XPK9li0f7gSv+w8z87fT9H2salUr16N\nzIwMomOO0bhxA/bvP0RGRob1WDhb/nZ0M8+twtrmjfJrm0Vta47E40zbh5y28z4HDx6m7WOnCm07\nf+Z3Q2HniivH09nj4+zx/zNkG73w8SreG35/R0lJScTGxtKpk+1NiVq1arFp0ya72/n4+PDll1/a\nLD948CAA4eHOtYdbvmcOoHHjxvTo0YMtW7bYZLlxcZYu/CpVqthsV7VqVcxmM6dPnyYjI4OLFy/m\n+XfjS4YeHh7cf//9vPPOO6xZs4Yff/yRp59+GpPJxHvvvUdmZmae8qVL5+2u9/PzIzs7G4DLly9z\n9erVPJl67rjA8j4dQKtWrTh27BgJCQkcOnSIpKQkHnzwQWrUqEFUVBRgecSydu3af8o0DcXB19dy\npyEz0/6XRc6x9PN1fCARPz9fAvz9CQoK5MHWLfhn/2cwm80sXPp9nn0CdGhr24PZ/kHLF/HBQ/Yn\nts7ONjJh0nR+WruRwMAAXhv+AhE3JCpeXl5EhJfHw8P21KlfrzYeHh6cij197Y++c3LH365dW5v1\nxRF/UThb//adlseE72+Z/x80cZ7vtXOm0HPLz7nR3grj5eVFRES4/bZfv66l7Z+Kw2Qy8ccfJ1my\nZAVNmzbivubNijUOe7Kzs5kwYTI/rV5naZujXiEiomgXR7Nnf0V6egaDnx9kvVgDKF/mTzwVAAAg\nAElEQVQ+jH8O6g/AsuU/ANd/JwAdOrSxqat9uwcAOHjQ/tykfn6+BAT4ExQUxIMPtuafg/pZvtsW\nLbVbfvu2nQDc37plvvEHBATw3ruv06VzR3x9fTlw4BBJySk888yT/PuF50hPTycgwN/l8rejm3Fu\nFXfbLGpbcyQeZ9o+WNrOW2+9xUMPdSq07fzZ3w2FnSuuHE9nj09uN+O7Sv46589bbrmHhdkODFau\nXDmSk5NJSSl8cJszZ86wZMkS3n//fe666y7ra1eOuuV75nIMHz6cn3/+mQ8++MBuNmuP2WzGYDDg\n4+PDypUrre+ygaUnbfDgwQwZMoTPP/+c8uXL89hjj+XZvkqVKvznP/8hKyuLBQsWcPToUWrVKvw5\n9Jx95yfnQj9nQJf777+f9957j+3bt3PhwgVKly7NnXfeSZMmTVi9ejVGo5Ft27bRt29fh/adHx/j\nFerEf1qkOpzh7wPJiQnUOz/OZt3Ji5mAmQoBV+2ud0Sdyma+8ILTcbHUPjuWchnZgGWOsjbGWXic\ntx2MwdNgJiX5is0+U9KNPD/zDL8eT6NMsCdfDijD3YGLsXaNOaikP1xONVEjbpx17rsb+RivYMBM\nrQsTKZl6/f3HchlZWN6OM1A+1N/ucbkZ8ecXT1HqN5nM7N11DH8f6B3+M37nNxQeiBPx5OZtTMaA\nmTrxnxH0F41saWjxWOGFipG/vzfJSYncU9n2UYyTsZcAMxXK+dpdXxAfrywMBqgdcdShyXtzKxni\ny+UradwVdoDJny3DaMzGm0vMm/mRtUxmpuUcTU25Yl3+UT5zQjkaT0pqBs+9upBfd52iTOkgpn38\nBHdXz8Lee3E5d/xzjkt+9WdkZHPs+HHKlg6ky33JNnXVqwRjxnhxOi6OOhGHCPNLASx/b9o2TMDD\n44ZRzCpbBoJISUly6HdSt2IIX3zhaa0/97tzJpOZvXt34e/vTZ9u/vj5FVxf89cbAnl7986ciyI7\nO4vK4YE28Thb/nZTnOeWM23zRvm1zTC/JFxta47E42zbz2mbe07dRd8+TzL+jQZ5yt/YdiZ9+u2f\n9t3gyLni7PF09fhA0dpDcdsXW6PwQlKo1FTL+7N+frZP5+TcKEhLSyMoKP/e4ytXrtCmTRsMBgN+\nfn68/vrreR69dITbJHOlSpXilf9n787joqr3P46/hh1kUVDcQMUVXHGDzDK1XK6muZGm5Z6VmZbX\nJMu83jK31Myb5ca1XNCyxTTN/ZrlUmouKOCKhpUCIrJvw/z+4MckgSZI4Oj7+Xjcx40558x8B89h\n5n2+3+/nO2ECkydP5r333jNXTatePbfa3vnz5+nYMf9dlfPnc0vhVqlSBX9/f5YvX55vu7e3NwBf\nf/01BoOhQJjLU69ePaDwf6ybcXd3x9HR0dyGwtpVtWpuoQwvLy98fHzYv38/CQkJ5gqcAQEBrFq1\nio0bN5KcnGwx8+Xy1PW058SldH6NzypQhfHcldw7nPWq3PoO57vfxHLlejbvDqxSoFKelZUBG2sD\nmdkmckxQpbwtLg5WJKfnEJuUXWA9s2spxtwCKc75v/AnpBoZ8lE0py9nUquiLUuf9cLLvWDl1LTM\nHKZ/HUNSWg7zBxe8k5aWmUN8ihEXB6ubBrlbyWt/UrqJhISC8+7utP3FVZznPx6dzvW0HLo0cb7p\nvEkpvrq1KnIi8nd+/f16gUpr5y7kVo2rX7vw6qHFkZaexTvvbScpOZ333+lT6Pb4hFRcnR1wcrQj\nNT0Tg8HAvoNRN32+b7adxGC49Re2v5JwPY3BY1Zz+lwMtbzdWTZ/AF5VCy5LUlRJKemYTCZsbAo/\ndw0GQ+7cNpMJY46JKp6uuDg7kJySQWxccr41rCC3+IMxJ4dKFf8oLDL7g11ciU1iztSehf9ts7Em\nM8tIjsnEjVf88fDfuJ6YRpcOvjjcYgHvM+dj+fX367QvpMT+Tz/njjVr5Ful2Pvfq0rq2vq7zs3i\nnGtFaU9Rz31r69xz5+fjabRo4V9g/7xzp/H/nzul9bcBbu9aKervszi/H/j7zgcpW3kdN7da8P5W\n2/K2v/fee2RlZbFy5UqGDh3K/Pnz6dSp0223w6K+ZfXr148WLVqwe/du82ONGjWiUqVKhIaG5uvK\nTE5OJjQ0FE9PTxo3bkzFihVp06ZNvv95eeWWfe7RowfR0dEsXry4wGtmZGSwfv16fHx8qF279m23\nNW9+2969e4mIyL8Y5NKlS81DOvO0a9eO/fv3c+TIEVq3bg1g/v+FCxfi4eFB48aNb/v17wYPNXDC\nBOwKL9jFvPNkMgagne+t50TtPJnM5qNJ/HQurcC2w1FppGTkULeKHbbWhv9/zdzn+/ZYwdf84VTu\nHZRWtf+4i5eZbeLZpZc4czmTRtXtCR1T46ZBxdHOil0nU9gWlszPFwq2Z8PPiQC0re9UYNvtymv/\nvh8Pl3j7i6O4zx/2/8sWNK1RenPJ7icPBfpgMpnY9UPBIbc79pzGYDDw8AO3//fqrzg62LLr+9Ns\n232Kn49fKrB9w5bcCf8P/v+CuysXPk3E3kkF/rdv8zgAqlVxI2LvJMJ/mFTguW5XZpaRka+s5cz5\nWBr5VmXNksEl9uXIo0I53FwcuRyTxLkLBcvQHzv5K6lpmdT0qoCdbe63tYcCc9/7t4Us/vv9gdwb\neK38vc2P7fz+NJt3hPPTkYIT3g4diyYlNYO6PhWxtcl/8yYsInd4fmHrwd3og5Dvef7VzwpdePzz\njUdzK+i1b1Ds/e9VJXFt/Z3nZl4b4fbPtaK0pzjn/gch3zNr9nzOni148zrv3On8/+dOafxtyHO7\n10pRfp+3+/up5e1u/v383eeDlJ28Wh3p6ekFtmVk5Baru1WvHICrqyv/+Mc/6NmzJ6tWraJatWrM\nmDGjSO2wqDAHMHXq1HxLBdjY2DB58mSuXLlC3759WbZsGUuXLqVv377ExcXxr3/96y+f87nnnqNl\ny5bMnz+fp556imXLlvHll1+ycOFCevbsydmzZ5k+fXqR2zphwgRcXFx4+umnee+991i9ejVDhgxh\n165dDB061Dx3DnLD3K+//kp8fDwBAQEAlC9fnrp16xIdHX1HhU/KSp8AN+ysDXy0PZ6zl/+owLgn\nIoUNhxOpUt4mX1n78zGZnI/JxJjzxxDVoEA3TMC09THEJWWbH4+KzeSNzy5jAIa2+6NS4pCHc/9A\nfrj9KkduCFxRsZnM2xyHlYF8C4ov2BLHiUsZeHvY8vHzXlQod+then0Dctvz1pcxXL2hPRG/pjP/\n26tYG2Bkh+LPa8xr/xfrN/0t7S+q4j7/yUu5VT8beinM/R369miGna0NHy7fy9moWPPj3+0/x4Yt\nYVT1dM1X6vr8xaucv3gVo7Hocznz9Ovhj8lk4t9ztnA1/o/S7BGnr/De4t1YW1nx7DNtiv38RfX+\nku84Efk7NapX4JP/DKSCW/FvovyZwWCgb49muYsav/0N8TeUov/t8nUmT9+MwWDg6X5/rGM6dEDu\n3+2Fy38wl2MHiPrlKvM+2o2VlYGBfVqaH3+yZ+7vc9rcbcTFJ+fb/43pmzAYDAx7quCcopORl3ML\nbjW49eLtHdrmjihZsHQPmVl/VBJc+N8fOHQsmuZNqtOmtU+x979XlcS19Xeem1D0c60o7SnOuZ93\n7ny27su76ty53WulKL/P2/39DOpbvN+/WJa8QiWxsbEFtsXExODq6lqkUX329va0b9+e33//nYSE\nhNs+7q4dZnmzbsn69eszePDgfEMmu3TpQkhICB9++CELFy7E1taWZs2aMWPGDFq0KFgJ7M/s7e1Z\nsWIFa9as4dtvvyUkJITk5GQ8PDx48MEHee6556hZs+Ztte/Gx729vVm3bh3z58/n008/JSMjg9q1\nazN9+nR69+6d77jWrVvj6OiIg4ODeVgn5A61PHv2LO3bt//L93G38XK35Z/dKzJzQyx95/9Cm3pO\npGflcPB8GjZWBt4dWNW8RhxA93cvALDzdR+qVcjt/RnycAV+PJvKD6dS+cesC7TwcSQtM4fjv6ST\nmW1iQBs3+rT+YyhMs5qO/LN7ReZuimPQwmha1XbE1trAkQtppGeZeP5Rd1r8/yLjCalGVu9NwAC4\nOVrz1peFl3Ku4GzNpJ65i/uO7uTOofOpHL2Yzj9mX6BFLUcyjSYOnkvFmANv9vak0R0EmGY1HRnU\nvw+rP/3yb2l/UdzJ8/8an1tAoKLz3b8moiXyqlqeCS92YMb7O+gzdDkPtq5FWnoWB4/+go21NbOn\n9sw3V6PbU7mjDnZ9+eJN19D6K6OHteXg0V84euJXug5YTMumXmRmGfnp54sYc0y8+c/ONGpQOsPw\nEq6nsfrzwxgMBlxdHPj3nK2F7ude3olJ44o2kTzPuGfbERb+G4eORfNo3w8JaF6TzKxsjp78jfT0\nLLp08OXpoD++0DZrVJ0Jozsw58P/MfD5lbTy98bO1pqfj18iPSOb54c8SIumfywCPqR/AAcOX+SH\nH8/Ttf9iWjb1JjU9k+MnfyMzy8hTvVvQp3vTAu369ffcIdgV/2KR5V7dmvDV5uPs/SmKrv0X0di3\nCucuXOXchTiqVXFjztQn7mj/e9WdXlulcW4W5VwrTnuKeu736taElV+d49ixE3Tt/8tdc+7c7rVS\n1Gu3KL+f0jgfpOy4uLjg5eVlrkJ5o/Dw8JuOqDt//jwjR47k2Wef5amnnsq3LTk52Vzv43bdlWFu\nxowZt+xinDhxIhMnTsz32AMPPMADDxS/ap6VlRWDBg1i0KBBxW5fYY97e3szd+5fF/iws7PjyJEj\nBR5/8803efPNN//y+LvV4IcrUK2CLSG74/npfCpOdla08y3H2C4e+FUvGHqs/pSRbawNLBpenZU/\nJPDVoUR+PJuKrbWBZjUcGNi2PF2aFlxAe0R7dxpWdyBkdzxhv6RjNIFvNXuGtKuQb/+D51LJyM7t\nBTxxKZ0Tlwp2kwNUd7dl0v8P3XewteKTF7z57+5rfHMkkf1nUnGwM/BgvXKM6FCBgDq3d8ftVkOo\ne3bvjE8tb/731ZISb39R2nMnz38txYjBAC6OxQtzfzHE/I73vxcMfrI11Sq7smz1j/x45BecHGxp\n16Yu455th1/9gneirf58cd3EzX6XDg62rFg4iP+u/pFvtp1k38ELODrY8mCADyMHPUBAi5qFH1jg\n+Q1F+vcq9Nw88gsZmbk94ycif+dE5O+FHlu9qttffkG6WVvs7W1YvmAgq9YdYsPWE/x05CIYDNTz\nqUhQT3+CehacHzRi0AM0rF+ZZat/JCz8N4w5JnzrVWbogIACiwLb2FixeM6TrPjsIF9tPs6Bwxew\ntbWmWePqDOrb8qaLCMcnpOZeW85/fdNo0ZwnWbB0D1t2RbB77zmqVnFl2IBAnn3mAdwrFPyCW9T9\n71V3cm2VxrkJt3+uFac9xTn3gye+zGfrvuLwwb3FPndK4m/DjYpyrRTl2i3K76ckzwe5O3Xu3JkV\nK1YQFRVlrmC/b98+oqKiePbZZws9pmbNmiQnJ7N27VqCgoLMIw5//fVXtm3bRkBAQL7l1v6KwXSr\nsotyzwgLC4PUK6VazVKKJ2/dveJW+ZTSV9rVLKV4/lzNUkRKhq4ty5JXzbJJs9IbGl8UYWFhkBVP\nY+fCF90uaSeSu4GtO02aNCnysfHx8fTo0QNra2uGDx9Oeno6ISEh1KpVi9DQUGxtbYmOjubIkSM0\nb97cXHxxw4YNBAcH06xZM3r06MG1a9cIDQ3FaDQSGhqabyrWX7G4OXMiIiIiIiJlzd3dndWrV+Pn\n58eCBQtYuXIlnTp1YsmSJeYlyA4dOkRwcDCHD/9R3K5nz57mKpazZs1i5cqVBAYG8tlnnxUpyMFd\nOsxSRERERETkblerVq1CK+Ln6d27d4FaGQBdu3ala9eud/z66pkTERERERGxQApzIiIiIiIiFkhh\nTkRERERExAIpzImIiIiIiFgghTkRERERERELpDAnIiIiIiJigRTmRERERERELJDCnIiIiIiIiAVS\nmBMREREREbFACnMiIiIiIiIWSGFORERERETEAinMiYiIiIiIWCCFOREREREREQukMCciIiIiImKB\nFOZEREREREQskMKciIiIiIiIBVKYExERERERsUAKcyIiIiIiIhZIYU5ERERERMQCKcyJiIiIiIhY\nIIU5ERERERERC6QwJyIiIiIiYoEU5kRERERERCyQwpyIiIiIiIgFUpgTERERERGxQApzIiIiIiIi\nFkhhTkRERERExAIpzImIiIiIiFgghTkRERERERELpDAnIiIiIiJigRTmRERERERELJDCnIiIiIiI\niAVSmBMREREREbFACnMiIiIiIiIWSGFORERERETEAinMiYiIiIiIWCCFOREREREREQtkU9YNEBER\nERERMbO2w1CxYem8Vppd6bzO30Q9cyIiIiIiIhZIYU5ERERERMQCKcyJiIiIiIgUw6VLlxgzZgyB\ngYEEBgYSHBxMfHz8Xx73/fffM3DgQPz9/WnevDnDhg3j2LFjRX59zZkTEREREREpooSEBAYPHkx2\ndjajRo0iOzubZcuWcfr0adatW4eNTeFR66effmLUqFHUq1ePV155BaPRSGhoKE8//TShoaE0adLk\nttugMCciIiIiIlJEy5cvJyYmho0bN+Lj4wNA06ZNGTZsGF999RVBQUGFHjd9+nSqVq3K559/jp1d\nbgGWJ554gm7dujF//nxCQkJuuw0aZikiIiIiIlJEmzdvJiAgwBzkANq0aYOPjw+bN28u9JjExERO\nnz5Nt27dzEEOwMPDg9atW/Pzzz8XqQ3qmRMRERERESmCxMREoqOj6dq1a4FtDRs25Pvvvy/0OGdn\nZ7Zs2YKjo2OBbdeuXbvp0MybUc+ciIiIiIhIEVy5cgWAypUrF9jm6elJUlISycnJBbZZWVlRo0YN\nKlWqlO/xyMhIfv75Z1q0aFGkdijMiYiIiIiIFEFKSgoADg4OBbbZ29sDkJaWdlvPlZqaSnBwMAaD\ngWeffbZI7VCYExERERERKQKTyQSAwWC46T632pYnPT2d559/ntOnTzNq1ChatWpVpHYozImIiIiI\niBSBk5MTkBvG/iwjIwPInR93K0lJSQwbNoyDBw/Sr18/Xn755SK3QwVQREREREREiqBatWoAxMbG\nFtgWExODq6troUMw88THxzN8+HBOnTpF//79mTp1arHaoTAnIiIiIiJSBC4uLnh5eREeHl5gW3h4\nOI0bN77psSkpKeYgN3ToUIKDg4vdDg2zFBERERERKaLOnTuzb98+oqKizI/l/dy9e/ebHvfvf/+b\nU6dOMWTIkDsKcqCeORERERERkSIbOXIkX3/9NUOGDGH48OGkp6cTEhJCkyZN6NGjBwDR0dEcOXKE\n5s2b4+3tzblz59iwYQNubm40aNCADRs2FHjenj173nYbFOZERERERESKyN3dndWrVzNjxgwWLFiA\no6MjnTp14tVXX8XW1haAQ4cO8frrrzNjxgy8vb05ePAgBoOBxMREXn/99UKfV2FORERERETkb1ar\nVi0WL1580+29e/emd+/e5p8HDBjAgAEDSuz1NWdORERERETEAinMiYiIiIiIWCCFOREREREREQuk\nMCciIiIiImKBFOZEREREREQskMKciIiIiIiIBVKYExERERERsUAKcyIiIiIiIhZIYU5ERERERMQC\nKcyJiIiIiIhYIIU5ERERERERC6QwJyIiIiIiYoEU5kRERERERCyQwpyIiIiIiIgFUpgTERERERGx\nQApzIiIiIiIiFkhhTkRERERExAIpzImIiIiIiFgghTkRERERERELpDAnIiIiIiJigRTmRERERERE\nLJDCnIiIiIiIiAVSmBMREREREbFACnMiIiIiIiIWSGFORERERETEAinMiYiIiIiIWCCFORERERER\nEQukMCciIiIiImKBFOZEREREREQskMKciIiIiIiIBVKYExERERERsUAKcyIiIiIiIhZIYU5ERERE\nRMQCKcyJiIiIiIhYIIU5ERERERERC6QwJyIiIiIiYoEU5kRERERERCyQwpyIiIiIiIgFUpgTERER\nERGxQApzIiIiIiIiFkhhTkRERERExAIpzImIiIiIiBTDpUuXGDNmDIGBgQQGBhIcHEx8fHyRnuPN\nN99k8ODBxXp9m2IdJRYnKysLk7UrJzzHlXVT5C9kW5UD0L+VJYkuV9YtkNuQbcz9yAuLrl/GLRG5\nt+jasiyZ2bYYDKaybsY9ISEhgcGDB5Odnc2oUaPIzs5m2bJlnD59mnXr1mFj89dRa926daxbt46A\ngIBitUFh7j5hMBjAygbsK5d1U+Qv2Jn/y6EMWyFy77EzX1z2ZdkMkXuOri3LYjBk5X4vlDu2fPly\nYmJi2LhxIz4+PgA0bdqUYcOG8dVXXxEUFHTTY3Nycvjwww9ZuHDhHf17KMzdJ5o3b17WTRARERER\n+WtWduDeuHRe69fiH7p582YCAgLMQQ6gTZs2+Pj4sHnz5puGuczMTPr168eZM2fo1asX+/btK3Yb\nNGdORERERESkCBITE4mOjqZRo0YFtjVs2JCTJ0/e9NiMjAxSU1OZP38+M2bMwNrautjtUM+ciIiI\niIhIEVy5cgWAypULTmHy9PQkKSmJ5ORknJ2dC2x3cXFh27ZtWFndeb+aeuZERERERESKICUlBQAH\nh4I1Duztc+ePpqWl3fT4kghyoDAnIiIiIiJSJCZTbkXQWxUvKY1CMwpzIiIiIiIiReDk5ARAenp6\ngW0ZGRkAhQ6xLGkKcyIiIiIiIkVQrVo1AGJjYwtsi4mJwdXVtdAhmCVNYU5ERERERKQIXFxc8PLy\nIjw8vMC28PBwGjcunaUVFOZERERERESKqHPnzuzbt4+oqCjzY3k/d+/evVTaoKUJREREREREimjk\nyJF8/fXXDBkyhOHDh5Oenk5ISAhNmjShR48eAERHR3PkyBGaN2+Ot7d3ibdBPXMiIiIiIiJF5O7u\nzurVq/Hz82PBggWsXLmSTp06sWTJEmxtbQE4dOgQwcHBHD58+JbPVdzKlwZTXl1NERERERGRMhQW\nFgZk0qRJab0egB1NSusFS5h65kRERERERCyQwpyIiMgNcnJyyroJIiIit0VhTkREBFi2bBmXL1/G\nyspKgU5ERCyCwpyIiNz3Vq5cyZw5c5g+fToxMTEKdCIiYhG0NIGIiNz3nnnmGU6ePMmmTZsAeOON\nN6hcuTI5OTlYWem+p0hpM5lMxa7uJ3I/UZgTuUcZjUasra3zPaYvpiL5TZs2jRYtWtCtWzdmzpyJ\nyWRSoBMpRXmfVVlZWZhMJtLS0nBzczMHOYU6kVtTmBO5B2VnZ2Njk3t5Hz9+HICqVatSqVIlfTCK\n/L8DBw6watUqDhw4gIODAx07dmTWrFkACnQipSAvyF24cIGlS5cSERFBTk4Ofn5+DBkyhNq1a2Nn\nZ1fWzRS5q1lPnTp1alk3QkRKTk5OjrlHbvz48XzwwQesXbuWzZs306hRI6pXr17GLRS5O3h5eVG9\nenW2bt3KsWPHqFq1Kj4+PnTq1ImLFy+ybds2Ll26RIsWLXBxcSEnJ0c3QkRKiMlkwsrKinPnzjFw\n4EASEhKoUaMGnp6efP/992zdupVKlSpRt25d3Ui5z8TExABGKlcurdcDsKZyab1gCVOYE7mH3Nh7\nMGHCBPbv30/v3r1p0qQJZ8+e5fPPP8fPz49atWqVbUNFylheMPPz86NixYps3ryZsLAwBTqRUmIw\nGEhOTmbixIm4u7szZcoUhg8fTpcuXYiIiODEiRP07t2bypUrY2trW9bNlVKkMFc0CnMi94i8u5x5\n/71mzRqefPJJRo0axSOPPEKtWrU4ffo0a9euVaCT+57BYDAPOfbz88PT01OBTqSUJScn88EHH/DE\nE0/QvXt3AGbPns2XX37JlClTaNq0KXv27MHT0xMnJydNE7hPKMwVjfqtRe4ReR9wY8eOpU+fPly6\ndIkHHnjAPHeuffv2vPzyy/j4+PDyyy/z3XfflWVzRcrUn78U9u7dm0mTJnH58mXmzp3Lrl27AJg1\naxbdu3dn165dvPPOO1q2QOQOGI1GIDfEpaWlERsbS3x8PM2aNQNyr7dPPvmEKVOm0KNHD2JjY5k0\naRJffPEFgIKcSCEU5kTuIUlJSXh6ehIfH09CQgIJCQnAHx+g7dq145VXXsHHx4cJEybwv//9ryyb\nK1ImjEajeYjXlStXuHz5MgD9+vXjtddeu2mg27NnD6+99hqxsbGawyNSDNbW1pw6dYoXXniBc+fO\nUb16dWrUqMG6deuYNm0aK1asMAc5BwcHPDw8MBgMunkicguqZiliwf7cu+Di4sLw4cNxdXVl2bJl\nhISE0LBhQ8qVK2eeT/fwww9jMBiYNWsWL7zwAjt27MDLy6sM34VI6cmrnhcVFcX06dM5d+4c5cuX\n5/HHH2f48OEEBQUBMHPmTObOnQtgrnKZkpLC4cOHzTdHROT25F13aWlpvPnmmyQlJXH9+nWcnZ0J\nDAxk3bp12NjY8Oqrr9K/f3/zcWfPnsXV1ZUqVaoAWqZApDCaMydioYxGo7l3IDExkZiYGKytrfHw\n8KBhw4YAfP7550RFRdGhQwfs7OzMc31q1KhB1apV6dChA61atSrLtyFSavIqvZ49e5aBAweSnJxM\n/fr1OX/+PHv37iUrK4vAwEAaNWqEu7s7W7ZsISwsjGrVquHj40O3bt3o0aOH+YuliNweKysroqOj\nWbRoEbGxsbz88su0a9cOgA4dOnD8+HEuXLhAnTp1qFevHs7Ozhw4cIAVK1aQlpbG2LFjcXZ2VpC7\nT2jOXNEYTCaTqawbISJFc+OC4DNmzODgwYNcuHABDw8PunTpQt++falevToffvghixYtolOnTsye\nPRtHR8dC18vSGlpyv4iNjWXEiBFUrlyZF198EX9/f6Kjo+nbty82Njb079+fccGE0SsAACAASURB\nVOPGAbBu3Trmzp2LjY0N06dPN3/5FJGiyc7OZubMmXz++efk5OSwdOlSAgMDSU9Px8HBgevXrzN+\n/Hj27t2Li4sLrq6upKenY21tzZIlS/D19S3rtyClKCwsDMikSZPSej0AO5qU1guWMPXMiVigvOD1\n/PPPs3v3bho2bEjLli0xGo1s2LCB48eP4+/vT5cuXTCZTKxbt46oqCgeeeSRQhdg1d1OudflDc/a\nt28fu3fvZuzYsQQGBgIQGhrK/v37qVSpEt9//z1Go5GAgAAaNWqEo6Mjx44dY9iwYbi5uZXxuxCx\nLHnXnZWVFdWrVyc1NZWwsDCSkpLo3r07NjY2ZGVl4eTkxBNPPEGFChXw8PDA2dmZzp07ExwcTJ06\ndcr6bUgpU89c0WjOnMhdLjk5GWdn5wKPr1y5kqNHj/LGG2/QtWtXc0gLCQnh3XffZfr06cycOZNh\nw4ZhbW3NwoULSUpKYsmSJeYKlyL3i7wbFnFxcVy6dAlvb28ANm7cyCeffMK8efNo3rw5PXr0YMmS\nJWRnZ/PSSy8xaNAgevbsiYuLS1k2X8Si5I32yLvuTCYTderU4fnnn8doNPLVV18xadIkZsyYga2t\nLRkZGdjb2zNo0KAybrmI5dE3OpG72Jo1awgNDWXNmjUFAl1ERATOzs48+OCD2NnZmYdejhgxAqPR\nyLx58/j2228ZOXIkQUFBpKamUrVqVQU5uW8UNnzY0dHRvC08PJy1a9fSrl07ateuTcWKFQkKCmLJ\nkiUsWrSIY8eOERISUujNFBEpXN5n0e+//87WrVu5cOECOTk5dO3alVatWjFx4kQAvvrqKyB3qoC9\nvT1ZWVlaHFykGPStTuQulZ2dTU5ODo8//jiZmZnmx/NKNF+4cAFnZ2cqVqwIYC7fbGVlxahRo9i6\ndSubN29myJAhVKlShXHjxuHg4ACoIpjc+/K+UMbFxXH+/HmuXLlCvXr16NWrF/7+/tSqVYvVq1cT\nHR3N2LFjzUO5Lly4QL169ejbty/t2rXTXFKRIsgrMnTmzBlGjhxJRkYGACkpKaxbt45u3brxyiuv\nEBwcDOQPdLa2tvnmg4vI7VGYE7lL5RVjyMrKMvcmxMfH4+7uDkBgYCCLFy9my5YtdO3aFSsrq3wl\n0ytWrEhUVBRGoxFbW1tzkAPNkZN7241VK8eNG8eVK1fMw5XXrl1L7dq1ycnJYceOHbi5uZnnzh07\ndoxLly7Ro0cPnnnmGX2pFCkiKysrYmJiGDNmDLVr12bEiBG0adOG8+fP8+WXX7J8+XIyMzOZMmUK\n48ePB3IDXUpKCgsWLNA1J1IMCnMidzEbGxvzsMjg4GD27dvHp59+SrVq1XjggQdYtWoVH330EW5u\nbrRp08b8QXj58mUSEhJo1KgRNjY2qlYp9xUrKysuX77Mc889R926dXnppZdo2LAhZ86coVatWuZr\noX79+hw+fJivv/6arKwsduzYQUJCAl26dNGXSpFiOnHihHn5gYceegiAunXrEhwcjJ2dHYsXL8bP\nz4/Ro0czevRoUlJS2L17NzExMXh6epZx60Usj77diViAzMxM6tevT1ZWFqNHj+a3334jMDCQiRMn\ncurUKaZNm8b69evJyMjg5MmTrFmzhoiICDp27IiNjY2CnNx39u/fz/Xr1xkwYABdu3alRo0aPPro\no+abI2FhYXTs2JGWLVsSHBzM1KlTOX36NB999BE1a9Ys49aLWK7IyEhSU1Np27YtkDtlIM8rr7xC\n27ZtCQ0NJS4uDm9vbyZNmsSOHTsU5ESKST1zInehP/ek2dnZ0b9/f5ycnJg/fz7PPfccixcvJigo\nCIPBwHvvvcdrr73GrFmzMBqN5OTkMGbMGHr06FGG70Kk7ERGRmI0GunQoQOQf23GiIgI5s6dS2Bg\nIPPmzWP37t2UL18ePz8/LQguUgSFzb+uUaMGAHv27OHxxx/HxsYGk8lk/lwLCAjgwIEDXLp0iYoV\nK1K1atWyaLrIPUNhTuQuk52dbe49CA8PJykpCU9PT3x8fHjiiScA8gW6fv36UbduXcLDwzl8+DC+\nvr74+vry8MMPA1oQXO5PVatWJTMzk/379+cbggzg5+dHamoq+/bt44UXXqB3795l2FIRy5R3gyQ5\nOZn4+HgMBgNOTk74+/vj6OjImjVrqFWrFo0bN8ZgMJhDX2pqKh4eHuqJEykhCnMidxGj0ZhvjtyB\nAwe4cuUKNWvWJCQkBC8vL3r16oXJZOL99983Bzp/f3/8/f0ZOHBgvudTkJN73c3OcT8/P4xGI198\n8QVeXl7mdeXyVKlShZiYGFV2FSmGvCJD586d44033uDSpUvExcXRqFEjvvjiCyZMmMDbb7/NwoUL\nGTFiBK1atQLg5MmT7N+/n3r16uHq6lrG70Lk3qAwJ3IXyes9ePHFFzl27BiDBg3CycmJ6tWr4+Xl\nBeSuk9W7d2+sra2ZM2cOY8aM4T//+Q/Vq1cv8MVUQU7uZXk9A1evXuXixYtER0fj6elJ8+bNCQwM\nZPz48cybNw9XV1cGDRpkXn4gMjKSS5cu0bBhQ4U5kWKwsrIiOjqaIUOG4OPjw/Dhw0lPTzcPUx40\naBDJycm89957HD9+nEcffZSMjAxOnz7Nb7/9xurVq7V+o0gJUZgTKSOhoaE4OTnRq1evfI+vX7+e\nEydO8Prrr9OxY0ccHBxISUnh+PHjfPvtt9SrV4/AwED69esHwMyZM3nmmWfYsGGDPhzlvnHj8gNj\nx47lypUrpKSkYGVlRZ06dXjrrbcYMGAAiYmJLFu2jLCwMDp16kRqair79+/n8uXLzJ07Vzc8RIoo\n7wbI6tWrcXR05NVXX6Vp06ZA/mInw4YNo2nTpnzwwQds3LiR8uXL06hRI+bMmWO+sSIid05hTqSU\nmUwmfv31Vz755BN69+5NRkYG9vb25u1JSUlkZGTQrFkzHBwciIyMZP78+fz000+kpqZiMBjo0qUL\nc+bMoXv37qSlpeHg4KAgJ/cVKysrLl26xLBhw6hbty6jRo3ioYceYseOHUydOpWZM2fyn//8h3/+\n85/UrFmTJUuWsGDBAsqXL0/t2rX55JNP8PHxKeu3IWJx8nqyw8LC8PDwMAc5k8lkniZw6NAhFixY\nwNSpU1m9ejXXrl3DwcEBKyurfJ93InLnFOZESpnBYMDLy4tFixbh6upa6AdbRkYGixYtIisri61b\nt2IwGOjQoQODBw9mz549LFy4kOHDh9O0aVOefvpp8weohozJve7Gc3zbtm3Y2toyevRoWrZsiZWV\nFRcuXMDJyYm+ffuSk5NDamoqQUFBdOjQgfT0dOzt7XFycqJcuXJl/E5ELJutrS0pKSnmn2+8Nq2t\nrTlx4gQ7duxg1KhRVKhQoayaKXLP0/gSkVJmMpkA8PHxwcPDA4BXX32VtWvXAvDMM8/g7+/PN998\nw/r16+natStz585l7ty5NGvWjAYNGmBtbW1+nrwgByjIyT3NaDRiMBiIj4/HZDIRGRmJk5MTrVu3\nxsrKilmzZrFy5UomTZpEp06d+OKLLxg3bhxZWVlUrFgRLy8vKlWqpCAnUgQ5OTkFHjOZTDzwwAOc\nPXuWZcuWAbm95ZmZmQA0b94cJycnLl++XKptFbkfqWdOpJT9OXCdOHGC7777ju+++w47Ozv69OnD\n8uXLOXPmDDY2Nvj4+JiD25UrVzhy5AhVq1ZVJTC5r5hMJqytrTlz5gz9+/fnpZdeolKlSphMJpKS\nkli8eDErVqzgX//6Fz179sTe3p6jR48SERFBWloatra2Zf0WRCxOXpGhmJgYwsLCiImJISAggDp1\n6tCzZ0++/vprPv74Y9zc3AgKCsLOzg6Aw4cPY2trq7lxIqVAYU6klP25lHrjxo2ZPXs2s2bNYvr0\n6QD06dOHevXqkZOTw/Hjx7l48SIODg78+OOPrF27lgkTJmi+j9w38r5QJiYm8uGHH9K0aVMaN27M\nxYsXCQkJYfTo0Rw9epSpU6fSo0cP89BlZ2dn3fQQKaYbiwyNGzeOuLg4rl+/TkBAAB988AHVqlVj\nwYIFDB48mHfffZeIiAiefvppDh8+zNatWzEajbRr166s34bIPU9hTqQU5X0pBThz5gxxcXF4e3vT\nvn177O3teeutt5gxYwZWVlb06tWLnJwcli5dyvbt27GxsaFKlSpMmDCBoUOHApojJ/cHa2troqOj\n+eSTT4iMjKR///60bt2a1q1bs3//fjZt2kSPHj1o164dDg4OAERERHDu3DkaNGigggsixZC3/EBe\nkaEXX3wRJycn6tSpg6urK5mZmdSrV4+1a9fy73//m3Xr1hEaGoqjoyNeXl4sXbq0wPqOIlLyFOZE\nSkneXU7InSO3f/9+4uLiAJg3bx7dunUjODiYWbNmMW3aNAB69erFzJkz+cc//oGbmxvu7u74+fmZ\nn09l1eV+ER8fz6pVqwDM4SwnJ4chQ4aQlJTE1q1bsbKy4uGHH+bXX39lz549xMbG8t577ynMiRRR\n3tD+1atXU6FCBSZOnGj+7Dl37hyfffYZW7Zs4aGHHqJnz54sXLiQ3377jcjISGrUqEG1atXMc8JF\n5O9lMOVdsSJSKiZMmMChQ4d45plnaNasGadPn6ZTp05UqlQJgD179vDOO+8QFxfHm2++WWAdOlCP\nnNyfwsLCCAoKwsXFhffff58HH3wQyP1yuWrVKtauXYvJZMLFxcW81lz9+vXLuNUilmvSpEmcOnWK\nlStXUq5cOVasWMGqVav45ZdfcHZ2JiUlhaCgIN56662ybqrcQ8LCwoBMmjQprdcDsKNJab1gCVOY\nEylFkZGRDB8+nIEDBzJixAgcHR3zbb98+TLu7u4cP36cqVOnEh0dzeTJkwkKCiqjFovcXY4fP86g\nQYOoW7cur7/+Oq1btzZvO3PmDMnJybi5uVGxYkXNlxO5Q7NmzWLt2rW0atWKq1evEh4eTv369Xn6\n6ad59NFHWbx4MWvWrGHHjh1Urly5rJsr9wiFuaLRGC2RUnTp0iXi4+N57LHHcHR0JDs727wtISGB\n999/n5kzZ9KqVStefvllXFxcyMrKKsMWi9xdmjZtysqVK4mKimLGjBkcOnTIvK1evXo0b96c2rVr\nK8iJlIDg4GACAgI4f/48CQkJTJ06lTlz5vDkk0/i4eGBg4MD7u7u5rmqIlL6NGdOpBSVL18egKNH\nj+Lr65tvjbjy5ctjb2/PN998w2uvvcZjjz2Gr68vXl5eZdVckbuSv78/H3/8MUOHDmX69Om88cYb\ntGzZsqybJWIxbmeofnZ2NjY2NixevJhr165ha2uLs7OzeXtERARHjx6lTp06+T7LRKR0qWdO5G9Q\n2CKrAJUrV8bd3Z0NGzYQGRlpfjyvh87X15eMjAxzYZS8IHez5xO5X+UFul9++YXg4GCOHj1a1k0S\nsQjXrl3DYDD85edKXsGupKQkKlSoQLly5fj0009ZunQpixYt4p133uHUqVNMmjSJcuXKlUbTRaQQ\nCnMiJSw7O9tcZfL8+fPs37+f8PBwrl27hre3N2+++SZHjx5l0aJFREREAGBjY0NcXBxhYWHUqVMH\nJyenfM+pqpUiBfn7+7No0SIyMjJUOU/kNixYsICxY8cSFxeHlZXVTQNdXs/dsWPHePXVVzl+/Dgp\nKSmsW7eOuXPnsmLFCgwGA6tWraJevXql/C5E5EbqFxcpQUaj0Tzc5MblB2xsbKhWrRpTpkyhY8eO\n5iUIoqOj+cc//kG1atX4/vvv2bRpE6+99pp5OKaI3FqrVq3Yvn275uyI3IZr165x8OBBpk2bxuuv\nv46np2eBZW7ygtzx48cZNmwYrVu3xsvLC2dnZ1avXs2pU6dwdnbGw8MDNze3Mnw3IneHS5cuMXPm\nTA4ePAhA+/btCQ4Oxt3d/W857s9UzVLkbzB27Fh+/vlngoKC6NChA6dPn2b+/PkkJyezZs0a6tev\nz65du5gxYwZXrlzBaDRSs2ZNBg4cyJAhQwAtPyAiIiVr1apVTJs2DTc3NwIDA3nzzTepVKlSgUB3\n7NgxhgwZQrt27Zg0aRJVq1Ytw1bL/caSqlkmJCTQp08fsrOzGTJkCNnZ2SxbtgwvLy/WrVt30/mk\nxT2uMOqZEylhhw4d4vDhw7z44os8/vjjuLq6kpqaSlJSEt27d8fZ2Znk5GQ6depEs2bNSExMJCsr\ni/Lly5s/MLUguIiIlITDhw/TqFEjHBwciIuLw83NDT8/P3bu3InBYGDy5Mn5Al16ejpff/01Dzzw\ngIKcyF9Yvnw5MTExbNy4ER8fHyC36vKwYcP46quvbrq0VHGPK4y+LYrcIaPRmO/nqKgorl+/TufO\nnXF1dWXfvn08//zzPPbYY4wdO5bz588zfvx4YmJi8PT0pG7duvj5+Zk/ME0mk4KciIjcsWHDhrF8\n+XISExOB3HncNWvWZMmSJfTq1YudO3fy9ttvExsbi5WVFSaTCQcHB0aMGMGsWbMU5ET+wubNmwkI\nCDAHMoA2bdrg4+PD5s2bS/y4wugbo8gdMBqN5opfP/30EwBOTk7Y2tqSmprKwYMHGT16NI899hjB\nwcFUqVKFU6dOsXfvXnPFyj/T0EoREblTH3/8MT/++CMPPfQQrq6upKWlERUVhbW1NXZ2drzzzjs8\n/vjj7Nq1yxzo8j5/qlevrvlwIn8hMTGR6OhoGjVqVGBbw4YNOXnyZIkedzMaZilSTCaTyRzkBg8e\nzJkzZ/j000+pUaMGaWlpzJ49m71795qDXMWKFQHMVfe03ICIiPxdUlJSAKhduzYODg5kZmby0Ucf\ncfbsWfM+M2fOBOCbb74BuOkcOhEp6MqVK0DuslN/5unpSVJSEsnJyfnWZ7yT425GV6pIMeTk5Jjv\nYG7evJm4uDhee+01XF1dadKkCSNHjmTHjh14eXkxatQoKlWqhMFgICYmhkOHDlGzZk1VrBQRkRKX\nV9euRYsWuLi4sHDhQvbv388DDzxAREQE7du3ByArKwvIDXR/7qG71bIFIpIr74ZJYdWU7e3tAUhL\nSyux425GPXMixZB3x3LatGlERkZibW3No48+ar6LEhQUxNWrV1m/fj3//e9/6dixI3Z2duzatYtN\nmzYxceJE84LgIiIiJSXvRmPjxo0JDg7m7bff5tlnn6VFixbUr1/fvJ+tra15qsCNPXQ2NjYEBwcX\n2msgIn/Iu3Fyq+kxhW0r7nE3ozAncgeioqI4dOiQuUJlXpirWbMmo0ePpmLFiixdupT169cDULVq\nVcaPH8/TTz8NaPkBERH5e7i4uFCnTh1zD1xiYiLlypUD/vjssba2zhforKys+PLLL7G3t2fatGnm\nqQQipS0zM2/JgNJ5LTu7oh/n5OQEQHp6eoFtGRkZAIUOlSzucTejMCdym24sdpL3QRgSEsLMmTP5\n+OOPCQ4OZvbs2ea7md7e3vzzn//k8ccf5/Lly9jZ2VG5cmVq164NaPkBERH5e1lZWdGmTRsaNGhA\naGgoY8aM4f3338/X63ZjoJs+fTp2dnY888wzCnJSZuyKk6zu6PWK95rVqlUDIDY2tsC2mJgYXF1d\nCx1KWdzjbkZhTuQ23BjkVq5cydmzZ0lPT6dly5aMHz+ejIwMPvvsM9555x0mT56Mp6en+ZgGDRrQ\noEGDfM+n5QdEROTv1qRJEz788EMyMjKoXLky7733HuPGjeM///kPlSpVMu9nbW1NdnY2NjY2TJ06\ntewaLAIFvjPdrVxcXPDy8iI8PLzAtvDwcBo3blyix92Mvk2K3Ia8IPfcc88xb948/ve//7Fz506m\nTJnCkCFD6Nevn3kC+bRp04iNjTXf7SyMhlaKiEhpsLW1xdnZmV69ejFu3DhOnz7NSy+9VKBXwMZG\n9/dFiqpz587s27ePqKgo82N5P3fv3r3EjyuMwZQ3C09ECrixR+67775jypQpvPrqq7Rv3x6DwcD6\n9etZtGgRlSpV4t1332X16tWEhobSrVs3XnvtNTw9Pcv4HYiIiORKTk7miy++4P3336d+/fp88MEH\n5mVzRKTo4uPj6dGjB9bW1gwfPpz09HRCQkKoVasWoaGh2NraEh0dzZEjR2jevDne3t63fdztsp6q\n/nSRm8obCrl69Wq+++47EhMT+ec//4mLiwt2dnb4+vpSo0YNvvnmGyIiIpg7dy5xcXGsX7+eM2fO\n0KlTpyJdkCIiIn8XOzs76tati6urK9u3b2fr1q107drVXJBBRIrG0dGRRx99lMjISL766ivCw8Pp\n2LEjM2fONBcc2rVrF5MmTaJhw4b4+vre9nG3Sz1zIn/h3LlzdO/eHU9PTxo2bMiiRYvIyckxLxqe\nkZFBSEgICxYsYNWqVbRq1YqXXnqJwMBAc9VKERGRu0VycjKhoaGEhoayatUqLZUjYsEU5kRuw7Fj\nxxg0aBA5OTl8/PHHBAQEAJgnjF+9epW2bdsSHBzMsGHD8h2r5QdERORuk5ycjNFoxM3NraybIiJ3\nQAVQRG5Ds2bNCA0NxdramoULF3Ly5Engjwnjv//+O3Z2dgXmyCnIiYjI3cjZ2VlBTuQeoDAncpua\nNm3KihUrCA8PZ+7cuRw4cACAixcvsn37duzt7alatWq+YxTkREREROTvomGWIkV05MgRhgwZQmZm\nJs2aNSMlJYWYmBhGjhzJqFGjyrp5IiIiInKfUJgTKYbjx4/Tv39/nJycGDBgAAMGDDCXm83JydGC\n4CIiIiLyt9M3TpFiaNq0KWvXrgXg0KFD5sVXjUajhlaKiIiISKlQz5zIHTh69ChDhw6ldu3avP76\n67Rq1aqsmyQiIiIi9wmFOZE7dPToUUaOHEn58uWZM2cO/v7+Zd0kEREREbkPaJilyB3y9/dn0aJF\nZGRk4OHhUdbNEREREZH7hHrmREpIeno6Dg4OZd0MEREREblPKMyJiIiIiIhYIA2zFBERERERsUAK\ncyIiIiIiIhZIYU5ERERERMQCKcyJiIiIiIhYIIU5ERG5Yx988AG+vr74+vqydOnSW+47ceJEfH19\n8fPzIy0trZRaKCIicu9RmBMRkRJjMBjYsWPHTbdnZWWxe/duDAZDKbZKRETk3qQwJyIiJaZixYqE\nhYURExNT6Pb9+/eTmJiIk5NTKbdMRETk3qMwJyIiJcJgMPDoo49iMpnYvn17ofts3bqVypUr07Bh\nw1JunYiIyL1HYU5EREpM27ZtcXJyKnSopdFoZOfOnXTu3LnQY3/44QcGDx5My5Ytad68OQMHDuR/\n//tfoft+/vnnPP3007Ru3ZrGjRvzyCOP8Prrr3PlypV8+8XFxTFp0iQ6depEkyZNzPv99ttv5n1+\n/fVXfH19GTduXIHXmTVrFr6+vhw8eDDfvgsWLGDq1Kk0b96cNm3asGvXLgBMJhOrVq2iV69eNGvW\njMDAQF566SXOnDlT4Ln37NnD4MGDadOmDf7+/vTq1Yv//ve/5OTk3OS3KyIikp/CnIiIlBg7Ozva\nt2/PwYMHSUxMzLftxx9/5Pr163Tp0qXAcWvXruXZZ58lKiqKxx9/nP79+3P58mVeeOEFVq1alW/f\nd955h8mTJ5OWlka/fv0YNGgQ5cuX58svv2TkyJHm/TIzMxk5ciQbN26kSZMmDB8+HH9/f9avX89T\nTz1128VXCpvf9+mnn7Jr1y6eeuopmjVrhr+/PwATJkxg2rRpADz11FN07tyZffv28eSTT3Ls2DHz\n8YcOHWL06NH88ssvdO/enUGDBmEymZg9ezYzZsy4rXaJiIjYlHUDRETk3tKpUyc2bdrErl276NWr\nl/nxrVu3UrFiRVq1apVv/8uXL/POO+/g6+vLypUrcXZ2BmDcuHEMGjSImTNn0qFDB6pXr87ly5dZ\nvXo1bdq0Yfny5fmeZ+DAgRw5coSIiAj8/PzYt28fkZGRjBkzhjFjxpj3++CDD1i4cCHbt2+nZ8+e\nxXqP165dY8OGDdStW9f82ObNm9m0aRN9+/Zl2rRp5hA4YsQI+vbtS3BwMFu2bAFgxYoVGI1GQkND\nqVatGgAvv/wyPXv25PPPPyc4OBgbG31Ei4jIralnTkREStQjjzyCg4NDvnlzJpOJnTt3Ftor9/XX\nX5Odnc1LL71kDnIAjo6OjB49muzsbDZu3AiAg4MD7777LpMmTSrwPK1btwbg6tWrAObhiqdOnSIz\nM9O834gRI/juu++KHeQAatWqlS/IAXzxxRdYWVnx2muv5evNq1WrFn379uXixYv8/PPPQO7vA+Do\n0aPm/WxtbVmxYgU//PCDgpyIiNwWfVqIiEiJcnR0pG3btuzdu5f09HQcHBw4dOgQcXFxdO3atcD+\n4eHhQO6cubz/zpOQkABAREQEAOXLl6d79+6YTCZOnz7NuXPniI6OJiIign379gG5c/MAHnzwQby9\nvdmxYwcPPvggbdu25ZFHHqF9+/Z4enre0Xv09vYu9H3Y29vzySefFNgWHR2NyWQiIiKCFi1aEBQU\nxM6dOxk/fjwLFizgkUce4ZFHHiEgIEBBTkREbps+MUREpMR16tSJXbt2sWfPHjp37nzTIZYASUlJ\nmEwm1qxZU+hzGQwGkpKSzD9v2bKFuXPnEh0djcFgoFy5cjRt2pT69etz6NAh834ODg58+umnfPTR\nR2zZsoVt27axdetWrK2t6dq1K2+//Xaxl0hwcHAo9H0YjUYWLlx40/eRN4+wXbt2fPzxx4SEhLB/\n/35WrFjBJ598QoUKFRg/fjxBQUHFapeIiNxfFOZERKTEPfroo1hbW7N9+3Y6d+7Mjh076NSpU6H7\nOjk5YTAY2L17N5UrV77l8x4/fpxXXnkFLy8v3n//fRo3bkz16tUBmDdvXr4wB+Du7s4bb7zBG2+8\nQWRkJN9//z1ffvklmzZtoly5crz11lvmIZF5Qx9vlJ6eftvv2cnJCTc3t5suy/BnAQEBBAQEkJaW\nxk8//cTu3btZv349U6ZMoV69euaiKiIiIjejOXMiIlLiXFxcCAwMZM+eoZpsxAAAA5RJREFUPRw6\ndIjLly8XOsQSoEGDBgCEhYUV2HbmzBlmz55tHkK5adMmAP7973/TpUsXc5ADOHv2LPBHKDt8+DDT\np08nOjoaAF9fX5599lnWrVuHjY2Nef6ara0tACkpKQVe/5dffrnt99ygQQN+++03rl27VmDbtm3b\nWLBgAVFRUQCsWrWKBQsWALnDUh955BH+9a9/MXHiRHPbRURE/orCnIiI/C26dOnC9evXeffdd/Hw\n8CAgIKDQ/Xr27ImVlRXz5s0jPj7e/HhWVhZvvfUWy5cvNwcte3t7AGJjY/M9x44dO9i9ezcA2dnZ\nQG4hlLzhize6cuUK2dnZ5iqSHh4euLm5cezYMfMcPYCff/6ZAwcO3Pb77d27N0ajkbffftvcBoDf\nfvuNqVOnsnTpUlxdXYHc+YGLFy8uEGAvXboEQNWqVW/7dUVE5P6lYZYiIlIi/jxM8bHHHmPq1Kkc\nP36coKCgQtdrA6hZsyavvvoqs2bNonv37nTs2BEXFxd2797NxYsX6dq1q3mIZrdu3fjvf//LlClT\nOHDgABUrViQ8PJx9+/bh4eHB1atXzT1jHTp0wN/fn9WrV3Pq1CmaNWtGYmIiW7Zswc7OjhdeeAEA\nKysr+vTpw8cff0y/fv3o3LkzMTExbNu2jRYtWhQYunkzffr0YefOnXz77bdERkbStm1bMjMz2bJl\nC4mJiUyePBkPDw8AxowZw4EDB3jmmWfo2rUrlSpV4syZM3z33Xf4+fnddEiqiIjIjRTmRESkRPw5\nrLm7u9OyZUsOHz5c6BDLG/cfOnQoPj4+LF++nK1bt5KTk0PNmjWZPHkyAwYMMO/n6+vL0qVLWbBg\nAdu3b8fGxgZvb2+Cg/+vfbu1USCMwjD6joBkKsAiESPRCAwV0ACjwCK2AyogQYydUSSEArAkVEMJ\n7DrM/uj9knP0zfVPcu9HlstlVqtV7vd71ut1RqNRuq5L13W53W4ZhiHj8Tjz+Ty73S5N07z37vf7\n1HWd6/WaYRgynU5zOBzyer2+xVxVVb+G6fF4TN/3uVwuOZ/Pqes6s9ksbdtmsVi855qmSd/3OZ1O\neTweeT6fmUwm2Ww22W6379NPAPhL9fnTxzcAAAD/mp85AACAAok5AACAAok5AACAAok5AACAAok5\nAACAAok5AACAAok5AACAAok5AACAAok5AACAAok5AACAAok5AACAAok5AACAAok5AACAAn0BYS6m\nNdipYncAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1023e1780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the classification model and visualizer \n",
    "bayes = GaussianNB()\n",
    "visualizer = ClassificationReport(bayes, classes=classes)\n",
    "\n",
    "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
    "visualizer.score(X_test, y_test)  # Evaluate the model on the test data \n",
    "g = visualizer.poof()             # Draw/show/poof the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ROCAUC \n",
    "\n",
    "Plot the ROC to visualize the tradeoff between the classifier's sensitivity and specificity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bIWNiYhQcHJzi7eLi4iQpVdsCqcV1B1vh2oMtcN3BFrju8LQsWLtFc7+ZLOP2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      "text/plain": [
       "<matplotlib.figure.Figure at 0x2befa5eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the classification model and visualizer \n",
    "logistic = LogisticRegression()\n",
    "visualizer = ROCAUC(logistic)\n",
    "\n",
    "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
    "visualizer.score(X_test, y_test)  # Evaluate the model on the test data \n",
    "g = visualizer.poof()             # Draw/show/poof the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ClassBalance \n",
    "\n",
    "Class balance chart that shows the support for each class in the fitted classification model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FhIRYzz77rNv9c/rdHTp0qGW326233nrL7XVdv369FRERYTVq1Mg6f/68a/mNXlcABcMx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\ntNA/C0Du2EUTQKH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06dNvecWrcePGWrJkiR588EF9+eWXysrK0i9+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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2c299c780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Instantiate the classification model and visualizer \n",
    "forest = RandomForestClassifier()\n",
    "visualizer = ClassBalance(forest, classes=classes)\n",
    "\n",
    "visualizer.fit(X_train, y_train)  # Fit the training data to the visualizer\n",
    "visualizer.score(X_test, y_test)  # Evaluate the model on the test data \n",
    "g = visualizer.poof()             # Draw/show/poof the data"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
